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1 just
1. adjective1) (morally right, deserved) gerecht; anständig, korrekt [Verhalten, Benehmen]2) (legally right) rechtmäßig3) (justified) berechtigt [Angst, Zorn, Groll]2. adverb1) (exactly) genaujust then/enough — gerade da/genug
just as — (exactly as, in the same way as) genauso wie; (when) gerade, als
just as good/tidy — etc. genauso gut/ordentlich usw.
just as fast as I can — so schnell wie ich nur kann
it'll just about be enough — (coll.) es wird in etwa reichen
that is just it — das ist es ja gerade; genau das ist es ja
that's just like him — das ist typisch er od. für ihn
just under £10 — nicht ganz zehn Pfund
3) (exactly or nearly now or then, in immediate past) gerade [eben]; [so]eben; (at this moment) geradeI have just seen him — (Brit.)
I just saw him — (Amer.) ich habe ihn gerade [eben] od. eben gesehen
not just now — im Moment nicht
I've come here just to see you — ich bin nur gekommen, um dich zu besuchen
just look at that! — guck dir das mal an!
could you just turn round? — kannst du dich mal [eben] umdrehen?
just come here a moment — komm [doch] mal einen Moment her
just a moment, please — einen Moment mal
that's just ridiculous/fantastic — das ist einfach lächerlich/fantastisch
6) (quite)it is just as well that... — [es ist] nur gut od. es ist doch gut, dass...
you might just as well... — du könntest genauso gut...
That's lovely. - Isn't it just? — Das ist schön. - Ja, und wie
just the same — (nevertheless) trotzdem
* * *I adjective3) (deserved: He got his just reward when he crashed the stolen car and broke his leg.) gerecht•- academic.ru/40368/justly">justly- justness II adverb1) ((often with as) exactly or precisely: This penknife is just what I needed; He was behaving just as if nothing had happened; The house was just as I'd remembered it.) genau2) ((with as) quite: This dress is just as nice as that one.) genau3) (very lately or recently: He has just gone out of the house.) gerade5) (at the particular moment: The telephone rang just as I was leaving.) gerade6) ((often with only) barely: We have only just enough milk to last till Friday; I just managed to escape; You came just in time.) gerade noch7) (only; merely: They waited for six hours just to get a glimpse of the Queen; `Where are you going?' `Just to the post office'; Could you wait just a minute?)8) (used for emphasis, eg with commands: Just look at that mess!; That just isn't true!; I just don't know what to do.) nur, einfach9) (absolutely: The weather is just marvellous.) einfach•- just about- just now
- just then* * *I. adv[ʤʌst, ʤəst]1. (in a moment) gleichwe're \just about to leave wir wollen gleich losI was \just going to phone you ich wollte dich eben [o gerade] anrufenI'm \just coming! ich komme gleich!2. (directly) direkt, gleichshe lives \just around the corner/by the station sie wohnt gleich um die Ecke/direkt am Bahnhof\just after gleich [o direkt] danach\just after getting up/finishing work gleich [o direkt] nach dem Aufstehen/nach Arbeitsende3. (recently) gerade [eben], [so]ebenthey've \just gone out this minute sie sind [eben] vor einer Minute gegangen4. (now) gerade▪ to be \just doing sth gerade dabei sein, etw zu tun, gerade etw tunI'm \just coming! ich komme schon!5. (exactly) genauthat's \just what I was going to say genau das wollte ich gerade sagenthe twins look \just like each other die Zwillinge sehen sich zum Verwechseln ähnlichthat's \just like you! das sieht dir [ganz] ähnlich! famit's \just like you to forget your purse es ist mal wieder typisch für dich, dass du deinen Geldbeutel vergessen hastcome \just as you are kommen Sie, wie Sie sind\just as I thought! das habe ich mir schon gedacht!\just as I expected! ich hatte es nicht anders erwartet!he reacted \just as I expected er hat genauso reagiert, wie ich es erwartet hattethat's \just it! das ist es ja gerade!\just as bad/good [as] genauso schlecht/gut [wie]\just as many... as... genau so viele... wie...\just now [or at the moment] gerade, im Augenblickit's very hectic \just now es ist im Augenblick [o gerade] sehr hektischplease not \just now jetzt bitte nicht\just on ( fam) genauit was \just on midnight when... es war Schlag [o genau um] Mitternacht, als...\just then gerade in diesem Augenblick\just as well ebenso gutit's \just as well you stayed at home es ist nur gut, dass du zu Hause geblieben bist\just as/when... gerade in dem Augenblick [o genau in dem Moment] als...he arrived \just as the train was pulling out er kam gerade in dem Augenblick [o genau in dem Moment] an, als der Zug abfuhrwhy don't you like him? — I \just don't! warum magst du ihn nicht? — nur so!she's \just a baby/a few weeks old sie ist noch ein Baby/erst ein paar Wochen altcan I \just finish my coffee? kann ich noch kurz meine Kaffee austrinken?\just in case that... nur für den Fall, dass...\just like that einfach so[not] \just anybody [nicht] einfach irgendjemand7. (barely) gerade nochthe stone \just missed me der Stein hat mich nur knapp verfehltit's \just possible that... es ist nicht ganz ausgeschlossen, dass...it might \just possibly help if... es wäre eventuell hilfreich, wenn...there's \just enough space for the two of us der Platz reicht gerade mal für uns beidethat will be \just enough for a week das wird gerade mal für eine Woche reichen\just in time gerade noch rechtzeitig8. (absolutely) einfach, wirklich\just dreadful/wonderful einfach furchtbar/wundervoll\just you dare! untersteh dich!\just imagine [or think] stell dir [bloß] mal vor\just imagine! stell dir das mal vor!\just listen! hör mal!\just look at this! schau dir das mal an!\just shut up! halt mal den Mund!\just taste this! das musst du unbedingt mal probieren!\just try! versuch's doch mal!\just watch it! pass bloß auf!, nimm dich ja in Acht!10.▶ that's \just my luck so etwas kann wirklich nur mir passieren▶ \just a minute [or moment] [or second]! (please wait) einen Augenblick [o einen Moment] [o eine Sekunde] [bitte]!; (as interruption) Moment [mal]!II. adj[ʤʌst]to have \just cause to do sth einen triftigen [o guten] Grund haben, etw zu tunto be \just reward for sth ein gerechter Ausgleich für etw akk sein3.it was no more than his \just deserts er hatte es nicht anders verdientIII. n[ʤʌst]( old)▪ the \just pl die Gerechten pl* * *I [dZʌst]adv1) (immediate past) gerade, (so)ebenshe left just before I came — sie war, gerade or kurz bevor ich kam, weggegangen
he's just been appointed — er ist gerade or eben erst ernannt worden
2) (= at this/that very moment) geradehurry up, he's just going — beeilen Sie sich, er geht gerade
I was just going to... — ich wollte gerade...
just as I was going — genau in dem Moment or gerade, als ich gehen wollte
3) (= barely, almost not) gerade noch, mit knapper Nothe (only) just escaped being run over — er wäre um ein Haar überfahren worden
I've got only just enough to live on — mir reicht es gerade so or so eben noch zum Leben
4) (= exactly) genau, geradeit's just on nine o'clock —
it happened just as I expected — es passierte genau so, wie ich es erwartet hatte
just what does this symbol mean? — was bedeutet dieses Zeichen genau?
it was just there —
everything has to be just so — es muss alles seine Ordnung haben
5) (= only, simply) nur, bloßjust you and me — nur wir beide, wir beide allein
this is just to show you how it works — dies soll Ihnen lediglich zeigen, wie es funktioniert
this is just to confirm... — hiermit bestätigen wir, dass...
why don't you want to/like it? – I just don't — warum willst du nicht/magst du es nicht? – ich will/mags eben or halt (inf) nicht
I don't know, I just don't — ich weiß (es) nicht, beim besten Willen nicht
you can't just assume... — Sie können doch nicht ohne weiteres annehmen...
6) (= a small distance with position) gleichput it just over there — stells mal da drüben hin
7) (= absolutely) einfach, wirklich8)just as — genauso, ebenso
she didn't understand you – it's just as well! — sie hat Sie nicht verstanden – das ist vielleicht auch besser so
it's just as well you stayed at home, you didn't miss anything — es macht nichts, dass Sie zu Hause geblieben sind, Sie haben nichts verpasst
it's just as well you didn't go out —
it would be just as well if you came — es wäre doch besser, wenn Sie kämen
come just as you are —
9)just about — in etwa, so etwa
did he make it in time? – just about — hat ers( rechtzeitig) geschafft? – so gerade
will this do? – just about — ist das recht so? – so in etwa
10)you can go, but not just now — Sie können gehen, aber nicht gerade jetzt
11)(other uses)
just think — denk bloßjust taste this — probier das mal; (it's awful) probier bloß das mal
don't I just! — und ob( ich...)
IIjust you dare — wehe, wenn dus wagst
adj (+er)1) person, decision gerecht (to gegenüber)I had just cause to be alarmed — ich hatte guten Grund, beunruhigt zu sein
* * *just [dʒʌst]1. gerecht (to gegen):be just to sb jemanden gerecht behandeln2. gerecht, angemessen, gehörig, (wohl)verdient:it was only just es war nur recht und billig;just reward gerechter oder wohlverdienter Lohn3. rechtmäßig, zu Recht bestehend, (wohl)begründet (Anspruch etc)5. richtig, gehörig6. a) genau, korrektb) wahr, richtig (Erklärung etc)7. BIBEL gerecht, rechtschaffen8. MUS reinB adv [ unbetont dʒəst]1. gerade, (so)eben:they have just left sie sind gerade (fort)gegangen;2. gerade, genau, eben:just there eben dort;a) gerade damals,b) gerade in diesem Augenblick;just five o’clock genau fünf Uhr;a) ebenso wie,b) (zeitlich) gerade als;just so! ganz recht!;3. gerade (noch), ganz knapp, mit knapper Not:be just ahead of knapp führen vor (dat);his shot was just wide SPORT sein Schuss ging (ganz) knapp daneben;we just managed it wir schafften es gerade noch;the bullet just missed him die Kugel ging ganz knapp an ihm vorbei, die Kugel hätte ihn beinahe getroffen;just possible immerhin möglich, im Bereich des Möglichen;4. nur, lediglich, bloß:just for the fun of it nur zum Spaß;just an ordinary man nur ein Mann wie alle anderen;5. just abouta) ungefähr, etwa:I’ve just about had enough! umg so langsam reichts mir!b) gerade noch:6. vor impa) doch, malb) nur:just tell me sag mir mal, sag mir nur oder bloß;just sit down, please setzen Sie sich doch bitte7. umg einfach, wirklich:8. eigentlich:just how many are there?* * *1. adjective1) (morally right, deserved) gerecht; anständig, korrekt [Verhalten, Benehmen]2) (legally right) rechtmäßig3) (justified) berechtigt [Angst, Zorn, Groll]4) (right in amount) recht, richtig [Proportion, Maß, Verhältnis]2. adverb1) (exactly) genaujust then/enough — gerade da/genug
just as good/tidy — etc. genauso gut/ordentlich usw.
come just as you are — komm so, wie du bist
it'll just about be enough — (coll.) es wird in etwa reichen
that is just it — das ist es ja gerade; genau das ist es ja
that's just like him — das ist typisch er od. für ihn
just so — (in an orderly manner) ordentlich; (expr. agreement) ganz recht
just under £10 — nicht ganz zehn Pfund
3) (exactly or nearly now or then, in immediate past) gerade [eben]; [so]eben; (at this moment) geradeI have just seen him — (Brit.)
I just saw him — (Amer.) ich habe ihn gerade [eben] od. eben gesehen
just now — (at this moment) [im Moment] gerade; (a little time ago) gerade eben
I've come here just to see you — ich bin nur gekommen, um dich zu besuchen
could you just turn round? — kannst du dich mal [eben] umdrehen?
just come here a moment — komm [doch] mal einen Moment her
just a moment, please — einen Moment mal
that's just ridiculous/fantastic — das ist einfach lächerlich/fantastisch
6) (quite)it is just as well that... — [es ist] nur gut od. es ist doch gut, dass...
you might just as well... — du könntest genauso gut...
7) (coll.): (really, indeed) wirklich; echt (ugs.)That's lovely. - Isn't it just? — Das ist schön. - Ja, und wie
just the same — (nevertheless) trotzdem
* * *adj.einfach adj.genau adj.gerade adj.gerade noch adj.gerecht adj. -
2 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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3 modular data center
модульный центр обработки данных (ЦОД)
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[Интент]Параллельные тексты EN-RU
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Data Centers are a hot topic these days. No matter where you look, this once obscure aspect of infrastructure is getting a lot of attention. For years, there have been cost pressures on IT operations and this, when the need for modern capacity is greater than ever, has thrust data centers into the spotlight. Server and rack density continues to rise, placing DC professionals and businesses in tighter and tougher situations while they struggle to manage their IT environments. And now hyper-scale cloud infrastructure is taking traditional technologies to limits never explored before and focusing the imagination of the IT industry on new possibilities.
В настоящее время центры обработки данных являются широко обсуждаемой темой. Куда ни посмотришь, этот некогда малоизвестный аспект инфраструктуры привлекает все больше внимания. Годами ИТ-отделы испытывали нехватку средств и это выдвинуло ЦОДы в центр внимания, в то время, когда необходимость в современных ЦОДах стала как никогда высокой. Плотность серверов и стоек продолжают расти, все больше усложняя ситуацию для специалистов в области охлаждения и организаций в их попытках управлять своими ИТ-средами. И теперь гипермасштабируемая облачная инфраструктура подвергает традиционные технологии невиданным ранее нагрузкам, и заставляет ИТ-индустрию искать новые возможности.
At Microsoft, we have focused a lot of thought and research around how to best operate and maintain our global infrastructure and we want to share those learnings. While obviously there are some aspects that we keep to ourselves, we have shared how we operate facilities daily, our technologies and methodologies, and, most importantly, how we monitor and manage our facilities. Whether it’s speaking at industry events, inviting customers to our “Microsoft data center conferences” held in our data centers, or through other media like blogging and white papers, we believe sharing best practices is paramount and will drive the industry forward. So in that vein, we have some interesting news to share.
В компании MicroSoft уделяют большое внимание изучению наилучших методов эксплуатации и технического обслуживания своей глобальной инфраструктуры и делятся результатами своих исследований. И хотя мы, конечно, не раскрываем некоторые аспекты своих исследований, мы делимся повседневным опытом эксплуатации дата-центров, своими технологиями и методологиями и, что важнее всего, методами контроля и управления своими объектами. Будь то доклады на отраслевых событиях, приглашение клиентов на наши конференции, которые посвящены центрам обработки данных MicroSoft, и проводятся в этих самых дата-центрах, или использование других средств, например, блоги и спецификации, мы уверены, что обмен передовым опытом имеет первостепенное значение и будет продвигать отрасль вперед.
Today we are sharing our Generation 4 Modular Data Center plan. This is our vision and will be the foundation of our cloud data center infrastructure in the next five years. We believe it is one of the most revolutionary changes to happen to data centers in the last 30 years. Joining me, in writing this blog are Daniel Costello, my director of Data Center Research and Engineering and Christian Belady, principal power and cooling architect. I feel their voices will add significant value to driving understanding around the many benefits included in this new design paradigm.
Сейчас мы хотим поделиться своим планом модульного дата-центра четвертого поколения. Это наше видение и оно будет основанием для инфраструктуры наших облачных дата-центров в ближайшие пять лет. Мы считаем, что это одно из самых революционных изменений в дата-центрах за последние 30 лет. Вместе со мной в написании этого блога участвовали Дэниел Костелло, директор по исследованиям и инжинирингу дата-центров, и Кристиан Белади, главный архитектор систем энергоснабжения и охлаждения. Мне кажется, что их авторитет придаст больше веса большому количеству преимуществ, включенных в эту новую парадигму проектирования.
Our “Gen 4” modular data centers will take the flexibility of containerized servers—like those in our Chicago data center—and apply it across the entire facility. So what do we mean by modular? Think of it like “building blocks”, where the data center will be composed of modular units of prefabricated mechanical, electrical, security components, etc., in addition to containerized servers.
Was there a key driver for the Generation 4 Data Center?Наши модульные дата-центры “Gen 4” будут гибкими с контейнерами серверов – как серверы в нашем чикагском дата-центре. И гибкость будет применяться ко всему ЦОД. Итак, что мы подразумеваем под модульностью? Мы думаем о ней как о “строительных блоках”, где дата-центр будет состоять из модульных блоков изготовленных в заводских условиях электрических систем и систем охлаждения, а также систем безопасности и т.п., в дополнение к контейнеризованным серверам.
Был ли ключевой стимул для разработки дата-центра четвертого поколения?
If we were to summarize the promise of our Gen 4 design into a single sentence it would be something like this: “A highly modular, scalable, efficient, just-in-time data center capacity program that can be delivered anywhere in the world very quickly and cheaply, while allowing for continued growth as required.” Sounds too good to be true, doesn’t it? Well, keep in mind that these concepts have been in initial development and prototyping for over a year and are based on cumulative knowledge of previous facility generations and the advances we have made since we began our investments in earnest on this new design.Если бы нам нужно было обобщить достоинства нашего проекта Gen 4 в одном предложении, это выглядело бы следующим образом: “Центр обработки данных с высоким уровнем модульности, расширяемости, и энергетической эффективности, а также возможностью постоянного расширения, в случае необходимости, который можно очень быстро и дешево развертывать в любом месте мира”. Звучит слишком хорошо для того чтобы быть правдой, не так ли? Ну, не забывайте, что эти концепции находились в процессе начальной разработки и создания опытного образца в течение более одного года и основываются на опыте, накопленном в ходе развития предыдущих поколений ЦОД, а также успехах, сделанных нами со времени, когда мы начали вкладывать серьезные средства в этот новый проект.
One of the biggest challenges we’ve had at Microsoft is something Mike likes to call the ‘Goldilock’s Problem’. In a nutshell, the problem can be stated as:
The worst thing we can do in delivering facilities for the business is not have enough capacity online, thus limiting the growth of our products and services.Одну из самых больших проблем, с которыми приходилось сталкиваться Майкрософт, Майк любит называть ‘Проблемой Лютика’. Вкратце, эту проблему можно выразить следующим образом:
Самое худшее, что может быть при строительстве ЦОД для бизнеса, это не располагать достаточными производственными мощностями, и тем самым ограничивать рост наших продуктов и сервисов.The second worst thing we can do in delivering facilities for the business is to have too much capacity online.
А вторым самым худшим моментом в этой сфере может слишком большое количество производственных мощностей.
This has led to a focus on smart, intelligent growth for the business — refining our overall demand picture. It can’t be too hot. It can’t be too cold. It has to be ‘Just Right!’ The capital dollars of investment are too large to make without long term planning. As we struggled to master these interesting challenges, we had to ensure that our technological plan also included solutions for the business and operational challenges we faced as well.
So let’s take a high level look at our Generation 4 designЭто заставило нас сосредоточиваться на интеллектуальном росте для бизнеса — refining our overall demand picture. Это не должно быть слишком горячим. И это не должно быть слишком холодным. Это должно быть ‘как раз, таким как надо!’ Нельзя делать такие большие капиталовложения без долгосрочного планирования. Пока мы старались решить эти интересные проблемы, мы должны были гарантировать, что наш технологический план будет также включать решения для коммерческих и эксплуатационных проблем, с которыми нам также приходилось сталкиваться.
Давайте рассмотрим наш проект дата-центра четвертого поколенияAre you ready for some great visuals? Check out this video at Soapbox. Click here for the Microsoft 4th Gen Video.
It’s a concept video that came out of my Data Center Research and Engineering team, under Daniel Costello, that will give you a view into what we think is the future.
From a configuration, construct-ability and time to market perspective, our primary goals and objectives are to modularize the whole data center. Not just the server side (like the Chicago facility), but the mechanical and electrical space as well. This means using the same kind of parts in pre-manufactured modules, the ability to use containers, skids, or rack-based deployments and the ability to tailor the Redundancy and Reliability requirements to the application at a very specific level.
Посмотрите это видео, перейдите по ссылке для просмотра видео о Microsoft 4th Gen:
Это концептуальное видео, созданное командой отдела Data Center Research and Engineering, возглавляемого Дэниелом Костелло, которое даст вам наше представление о будущем.
С точки зрения конфигурации, строительной технологичности и времени вывода на рынок, нашими главными целями и задачами агрегатирование всего дата-центра. Не только серверную часть, как дата-центр в Чикаго, но также системы охлаждения и электрические системы. Это означает применение деталей одного типа в сборных модулях, возможность использования контейнеров, салазок, или стоечных систем, а также возможность подстраивать требования избыточности и надежности для данного приложения на очень специфичном уровне.Our goals from a cost perspective were simple in concept but tough to deliver. First and foremost, we had to reduce the capital cost per critical Mega Watt by the class of use. Some applications can run with N-level redundancy in the infrastructure, others require a little more infrastructure for support. These different classes of infrastructure requirements meant that optimizing for all cost classes was paramount. At Microsoft, we are not a one trick pony and have many Online products and services (240+) that require different levels of operational support. We understand that and ensured that we addressed it in our design which will allow us to reduce capital costs by 20%-40% or greater depending upon class.
Нашими целями в области затрат были концептуально простыми, но трудно реализуемыми. В первую очередь мы должны были снизить капитальные затраты в пересчете на один мегаватт, в зависимости от класса резервирования. Некоторые приложения могут вполне работать на базе инфраструктуры с резервированием на уровне N, то есть без резервирования, а для работы других приложений требуется больше инфраструктуры. Эти разные классы требований инфраструктуры подразумевали, что оптимизация всех классов затрат имеет преобладающее значение. В Майкрософт мы не ограничиваемся одним решением и располагаем большим количеством интерактивных продуктов и сервисов (240+), которым требуются разные уровни эксплуатационной поддержки. Мы понимаем это, и учитываем это в своем проекте, который позволит нам сокращать капитальные затраты на 20%-40% или более в зависимости от класса.For example, non-critical or geo redundant applications have low hardware reliability requirements on a location basis. As a result, Gen 4 can be configured to provide stripped down, low-cost infrastructure with little or no redundancy and/or temperature control. Let’s say an Online service team decides that due to the dramatically lower cost, they will simply use uncontrolled outside air with temperatures ranging 10-35 C and 20-80% RH. The reality is we are already spec-ing this for all of our servers today and working with server vendors to broaden that range even further as Gen 4 becomes a reality. For this class of infrastructure, we eliminate generators, chillers, UPSs, and possibly lower costs relative to traditional infrastructure.
Например, некритичные или гео-избыточные системы имеют низкие требования к аппаратной надежности на основе местоположения. В результате этого, Gen 4 можно конфигурировать для упрощенной, недорогой инфраструктуры с низким уровнем (или вообще без резервирования) резервирования и / или температурного контроля. Скажем, команда интерактивного сервиса решает, что, в связи с намного меньшими затратами, они будут просто использовать некондиционированный наружный воздух с температурой 10-35°C и влажностью 20-80% RH. В реальности мы уже сегодня предъявляем эти требования к своим серверам и работаем с поставщиками серверов над еще большим расширением диапазона температур, так как наш модуль и подход Gen 4 становится реальностью. Для подобного класса инфраструктуры мы удаляем генераторы, чиллеры, ИБП, и, возможно, будем предлагать более низкие затраты, по сравнению с традиционной инфраструктурой.
Applications that demand higher level of redundancy or temperature control will use configurations of Gen 4 to meet those needs, however, they will also cost more (but still less than traditional data centers). We see this cost difference driving engineering behavioral change in that we predict more applications will drive towards Geo redundancy to lower costs.
Системы, которым требуется более высокий уровень резервирования или температурного контроля, будут использовать конфигурации Gen 4, отвечающие этим требованиям, однако, они будут также стоить больше. Но все равно они будут стоить меньше, чем традиционные дата-центры. Мы предвидим, что эти различия в затратах будут вызывать изменения в методах инжиниринга, и по нашим прогнозам, это будет выражаться в переходе все большего числа систем на гео-избыточность и меньшие затраты.
Another cool thing about Gen 4 is that it allows us to deploy capacity when our demand dictates it. Once finalized, we will no longer need to make large upfront investments. Imagine driving capital costs more closely in-line with actual demand, thus greatly reducing time-to-market and adding the capacity Online inherent in the design. Also reduced is the amount of construction labor required to put these “building blocks” together. Since the entire platform requires pre-manufacture of its core components, on-site construction costs are lowered. This allows us to maximize our return on invested capital.
Еще одно достоинство Gen 4 состоит в том, что он позволяет нам разворачивать дополнительные мощности, когда нам это необходимо. Как только мы закончим проект, нам больше не нужно будет делать большие начальные капиталовложения. Представьте себе возможность более точного согласования капитальных затрат с реальными требованиями, и тем самым значительного снижения времени вывода на рынок и интерактивного добавления мощностей, предусматриваемого проектом. Также снижен объем строительных работ, требуемых для сборки этих “строительных блоков”. Поскольку вся платформа требует предварительного изготовления ее базовых компонентов, затраты на сборку также снижены. Это позволит нам увеличить до максимума окупаемость своих капиталовложений.
Мы все подвергаем сомнениюIn our design process, we questioned everything. You may notice there is no roof and some might be uncomfortable with this. We explored the need of one and throughout our research we got some surprising (positive) results that showed one wasn’t needed.
В своем процессе проектирования мы все подвергаем сомнению. Вы, наверное, обратили внимание на отсутствие крыши, и некоторым специалистам это могло не понравиться. Мы изучили необходимость в крыше и в ходе своих исследований получили удивительные результаты, которые показали, что крыша не нужна.
Серийное производство дата центров
In short, we are striving to bring Henry Ford’s Model T factory to the data center. http://en.wikipedia.org/wiki/Henry_Ford#Model_T. Gen 4 will move data centers from a custom design and build model to a commoditized manufacturing approach. We intend to have our components built in factories and then assemble them in one location (the data center site) very quickly. Think about how a computer, car or plane is built today. Components are manufactured by different companies all over the world to a predefined spec and then integrated in one location based on demands and feature requirements. And just like Henry Ford’s assembly line drove the cost of building and the time-to-market down dramatically for the automobile industry, we expect Gen 4 to do the same for data centers. Everything will be pre-manufactured and assembled on the pad.Мы хотим применить модель автомобильной фабрики Генри Форда к дата-центру. Проект Gen 4 будет способствовать переходу от модели специализированного проектирования и строительства к товарно-производственному, серийному подходу. Мы намерены изготавливать свои компоненты на заводах, а затем очень быстро собирать их в одном месте, в месте строительства дата-центра. Подумайте о том, как сегодня изготавливается компьютер, автомобиль или самолет. Компоненты изготавливаются по заранее определенным спецификациям разными компаниями во всем мире, затем собираются в одном месте на основе спроса и требуемых характеристик. И точно так же как сборочный конвейер Генри Форда привел к значительному уменьшению затрат на производство и времени вывода на рынок в автомобильной промышленности, мы надеемся, что Gen 4 сделает то же самое для дата-центров. Все будет предварительно изготавливаться и собираться на месте.
Невероятно энергоэффективный ЦОД
And did we mention that this platform will be, overall, incredibly energy efficient? From a total energy perspective not only will we have remarkable PUE values, but the total cost of energy going into the facility will be greatly reduced as well. How much energy goes into making concrete? Will we need as much of it? How much energy goes into the fuel of the construction vehicles? This will also be greatly reduced! A key driver is our goal to achieve an average PUE at or below 1.125 by 2012 across our data centers. More than that, we are on a mission to reduce the overall amount of copper and water used in these facilities. We believe these will be the next areas of industry attention when and if the energy problem is solved. So we are asking today…“how can we build a data center with less building”?А мы упоминали, что эта платформа будет, в общем, невероятно энергоэффективной? С точки зрения общей энергии, мы получим не только поразительные значения PUE, но общая стоимость энергии, затраченной на объект будет также значительно снижена. Сколько энергии идет на производство бетона? Нам нужно будет столько энергии? Сколько энергии идет на питание инженерных строительных машин? Это тоже будет значительно снижено! Главным стимулом является достижение среднего PUE не больше 1.125 для всех наших дата-центров к 2012 году. Более того, у нас есть задача сокращения общего количества меди и воды в дата-центрах. Мы думаем, что эти задачи станут следующей заботой отрасли после того как будет решена энергетическая проблема. Итак, сегодня мы спрашиваем себя…“как можно построить дата-центр с меньшим объемом строительных работ”?
Строительство дата центров без чиллеровWe have talked openly and publicly about building chiller-less data centers and running our facilities using aggressive outside economization. Our sincerest hope is that Gen 4 will completely eliminate the use of water. Today’s data centers use massive amounts of water and we see water as the next scarce resource and have decided to take a proactive stance on making water conservation part of our plan.
Мы открыто и публично говорили о строительстве дата-центров без чиллеров и активном использовании в наших центрах обработки данных технологий свободного охлаждения или фрикулинга. Мы искренне надеемся, что Gen 4 позволит полностью отказаться от использования воды. Современные дата-центры расходуют большие объемы воды и так как мы считаем воду следующим редким ресурсом, мы решили принять упреждающие меры и включить экономию воды в свой план.
By sharing this with the industry, we believe everyone can benefit from our methodology. While this concept and approach may be intimidating (or downright frightening) to some in the industry, disclosure ultimately is better for all of us.
Делясь этим опытом с отраслью, мы считаем, что каждый сможет извлечь выгоду из нашей методологией. Хотя эта концепция и подход могут показаться пугающими (или откровенно страшными) для некоторых отраслевых специалистов, раскрывая свои планы мы, в конечном счете, делаем лучше для всех нас.
Gen 4 design (even more than just containers), could reduce the ‘religious’ debates in our industry. With the central spine infrastructure in place, containers or pre-manufactured server halls can be either AC or DC, air-side economized or water-side economized, or not economized at all (though the sanity of that might be questioned). Gen 4 will allow us to decommission, repair and upgrade quickly because everything is modular. No longer will we be governed by the initial decisions made when constructing the facility. We will have almost unlimited use and re-use of the facility and site. We will also be able to use power in an ultra-fluid fashion moving load from critical to non-critical as use and capacity requirements dictate.
Проект Gen 4 позволит уменьшить ‘религиозные’ споры в нашей отрасли. Располагая базовой инфраструктурой, контейнеры или сборные серверные могут оборудоваться системами переменного или постоянного тока, воздушными или водяными экономайзерами, или вообще не использовать экономайзеры. Хотя можно подвергать сомнению разумность такого решения. Gen 4 позволит нам быстро выполнять работы по выводу из эксплуатации, ремонту и модернизации, поскольку все будет модульным. Мы больше не будем руководствоваться начальными решениями, принятыми во время строительства дата-центра. Мы сможем использовать этот дата-центр и инфраструктуру в течение почти неограниченного периода времени. Мы также сможем применять сверхгибкие методы использования электрической энергии, переводя оборудование в режимы критической или некритической нагрузки в соответствии с требуемой мощностью.
Gen 4 – это стандартная платформаFinally, we believe this is a big game changer. Gen 4 will provide a standard platform that our industry can innovate around. For example, all modules in our Gen 4 will have common interfaces clearly defined by our specs and any vendor that meets these specifications will be able to plug into our infrastructure. Whether you are a computer vendor, UPS vendor, generator vendor, etc., you will be able to plug and play into our infrastructure. This means we can also source anyone, anywhere on the globe to minimize costs and maximize performance. We want to help motivate the industry to further innovate—with innovations from which everyone can reap the benefits.
Наконец, мы уверены, что это будет фактором, который значительно изменит ситуацию. Gen 4 будет представлять собой стандартную платформу, которую отрасль сможет обновлять. Например, все модули в нашем Gen 4 будут иметь общепринятые интерфейсы, четко определяемые нашими спецификациями, и оборудование любого поставщика, которое отвечает этим спецификациям можно будет включать в нашу инфраструктуру. Независимо от того производите вы компьютеры, ИБП, генераторы и т.п., вы сможете включать свое оборудование нашу инфраструктуру. Это означает, что мы также сможем обеспечивать всех, в любом месте земного шара, тем самым сводя до минимума затраты и максимальной увеличивая производительность. Мы хотим создать в отрасли мотивацию для дальнейших инноваций – инноваций, от которых каждый сможет получать выгоду.
Главные характеристики дата-центров четвертого поколения Gen4To summarize, the key characteristics of our Generation 4 data centers are:
Scalable
Plug-and-play spine infrastructure
Factory pre-assembled: Pre-Assembled Containers (PACs) & Pre-Manufactured Buildings (PMBs)
Rapid deployment
De-mountable
Reduce TTM
Reduced construction
Sustainable measuresНиже приведены главные характеристики дата-центров четвертого поколения Gen 4:
Расширяемость;
Готовая к использованию базовая инфраструктура;
Изготовление в заводских условиях: сборные контейнеры (PAC) и сборные здания (PMB);
Быстрота развертывания;
Возможность демонтажа;
Снижение времени вывода на рынок (TTM);
Сокращение сроков строительства;
Экологичность;Map applications to DC Class
We hope you join us on this incredible journey of change and innovation!
Long hours of research and engineering time are invested into this process. There are still some long days and nights ahead, but the vision is clear. Rest assured however, that we as refine Generation 4, the team will soon be looking to Generation 5 (even if it is a bit farther out). There is always room to get better.
Использование систем электропитания постоянного тока.
Мы надеемся, что вы присоединитесь к нам в этом невероятном путешествии по миру изменений и инноваций!
На этот проект уже потрачены долгие часы исследований и проектирования. И еще предстоит потратить много дней и ночей, но мы имеем четкое представление о конечной цели. Однако будьте уверены, что как только мы доведем до конца проект модульного дата-центра четвертого поколения, мы вскоре начнем думать о проекте дата-центра пятого поколения. Всегда есть возможность для улучшений.So if you happen to come across Goldilocks in the forest, and you are curious as to why she is smiling you will know that she feels very good about getting very close to ‘JUST RIGHT’.
Generations of Evolution – some background on our data center designsТак что, если вы встретите в лесу девочку по имени Лютик, и вам станет любопытно, почему она улыбается, вы будете знать, что она очень довольна тем, что очень близко подошла к ‘ОПИМАЛЬНОМУ РЕШЕНИЮ’.
Поколения эволюции – история развития наших дата-центровWe thought you might be interested in understanding what happened in the first three generations of our data center designs. When Ray Ozzie wrote his Software plus Services memo it posed a very interesting challenge to us. The winds of change were at ‘tornado’ proportions. That “plus Services” tag had some significant (and unstated) challenges inherent to it. The first was that Microsoft was going to evolve even further into an operations company. While we had been running large scale Internet services since 1995, this development lead us to an entirely new level. Additionally, these “services” would span across both Internet and Enterprise businesses. To those of you who have to operate “stuff”, you know that these are two very different worlds in operational models and challenges. It also meant that, to achieve the same level of reliability and performance required our infrastructure was going to have to scale globally and in a significant way.
Мы подумали, что может быть вам будет интересно узнать историю первых трех поколений наших центров обработки данных. Когда Рэй Оззи написал свою памятную записку Software plus Services, он поставил перед нами очень интересную задачу. Ветра перемен двигались с ураганной скоростью. Это окончание “plus Services” скрывало в себе какие-то значительные и неопределенные задачи. Первая заключалась в том, что Майкрософт собиралась в еще большей степени стать операционной компанией. Несмотря на то, что мы управляли большими интернет-сервисами, начиная с 1995 г., эта разработка подняла нас на абсолютно новый уровень. Кроме того, эти “сервисы” охватывали интернет-компании и корпорации. Тем, кому приходится всем этим управлять, известно, что есть два очень разных мира в области операционных моделей и задач. Это также означало, что для достижения такого же уровня надежности и производительности требовалось, чтобы наша инфраструктура располагала значительными возможностями расширения в глобальных масштабах.
It was that intense atmosphere of change that we first started re-evaluating data center technology and processes in general and our ideas began to reach farther than what was accepted by the industry at large. This was the era of Generation 1. As we look at where most of the world’s data centers are today (and where our facilities were), it represented all the known learning and design requirements that had been in place since IBM built the first purpose-built computer room. These facilities focused more around uptime, reliability and redundancy. Big infrastructure was held accountable to solve all potential environmental shortfalls. This is where the majority of infrastructure in the industry still is today.
Именно в этой атмосфере серьезных изменений мы впервые начали переоценку ЦОД-технологий и технологий вообще, и наши идеи начали выходить за пределы общепринятых в отрасли представлений. Это была эпоха ЦОД первого поколения. Когда мы узнали, где сегодня располагается большинство мировых дата-центров и где находятся наши предприятия, это представляло весь опыт и навыки проектирования, накопленные со времени, когда IBM построила первую серверную. В этих ЦОД больше внимания уделялось бесперебойной работе, надежности и резервированию. Большая инфраструктура была призвана решать все потенциальные экологические проблемы. Сегодня большая часть инфраструктуры все еще находится на этом этапе своего развития.
We soon realized that traditional data centers were quickly becoming outdated. They were not keeping up with the demands of what was happening technologically and environmentally. That’s when we kicked off our Generation 2 design. Gen 2 facilities started taking into account sustainability, energy efficiency, and really looking at the total cost of energy and operations.
Очень быстро мы поняли, что стандартные дата-центры очень быстро становятся устаревшими. Они не поспевали за темпами изменений технологических и экологических требований. Именно тогда мы стали разрабатывать ЦОД второго поколения. В этих дата-центрах Gen 2 стали принимать во внимание такие факторы как устойчивое развитие, энергетическая эффективность, а также общие энергетические и эксплуатационные.
No longer did we view data centers just for the upfront capital costs, but we took a hard look at the facility over the course of its life. Our Quincy, Washington and San Antonio, Texas facilities are examples of our Gen 2 data centers where we explored and implemented new ways to lessen the impact on the environment. These facilities are considered two leading industry examples, based on their energy efficiency and ability to run and operate at new levels of scale and performance by leveraging clean hydro power (Quincy) and recycled waste water (San Antonio) to cool the facility during peak cooling months.
Мы больше не рассматривали дата-центры только с точки зрения начальных капитальных затрат, а внимательно следили за работой ЦОД на протяжении его срока службы. Наши объекты в Куинси, Вашингтоне, и Сан-Антонио, Техас, являются образцами наших ЦОД второго поколения, в которых мы изучали и применяли на практике новые способы снижения воздействия на окружающую среду. Эти объекты считаются двумя ведущими отраслевыми примерами, исходя из их энергетической эффективности и способности работать на новых уровнях производительности, основанных на использовании чистой энергии воды (Куинси) и рециклирования отработанной воды (Сан-Антонио) для охлаждения объекта в самых жарких месяцах.
As we were delivering our Gen 2 facilities into steel and concrete, our Generation 3 facilities were rapidly driving the evolution of the program. The key concepts for our Gen 3 design are increased modularity and greater concentration around energy efficiency and scale. The Gen 3 facility will be best represented by the Chicago, Illinois facility currently under construction. This facility will seem very foreign compared to the traditional data center concepts most of the industry is comfortable with. In fact, if you ever sit around in our container hanger in Chicago it will look incredibly different from a traditional raised-floor data center. We anticipate this modularization will drive huge efficiencies in terms of cost and operations for our business. We will also introduce significant changes in the environmental systems used to run our facilities. These concepts and processes (where applicable) will help us gain even greater efficiencies in our existing footprint, allowing us to further maximize infrastructure investments.
Так как наши ЦОД второго поколения строились из стали и бетона, наши центры обработки данных третьего поколения начали их быстро вытеснять. Главными концептуальными особенностями ЦОД третьего поколения Gen 3 являются повышенная модульность и большее внимание к энергетической эффективности и масштабированию. Дата-центры третьего поколения лучше всего представлены объектом, который в настоящее время строится в Чикаго, Иллинойс. Этот ЦОД будет выглядеть очень необычно, по сравнению с общепринятыми в отрасли представлениями о дата-центре. Действительно, если вам когда-либо удастся побывать в нашем контейнерном ангаре в Чикаго, он покажется вам совершенно непохожим на обычный дата-центр с фальшполом. Мы предполагаем, что этот модульный подход будет способствовать значительному повышению эффективности нашего бизнеса в отношении затрат и операций. Мы также внесем существенные изменения в климатические системы, используемые в наших ЦОД. Эти концепции и технологии, если применимо, позволят нам добиться еще большей эффективности наших существующих дата-центров, и тем самым еще больше увеличивать капиталовложения в инфраструктуру.
This is definitely a journey, not a destination industry. In fact, our Generation 4 design has been under heavy engineering for viability and cost for over a year. While the demand of our commercial growth required us to make investments as we grew, we treated each step in the learning as a process for further innovation in data centers. The design for our future Gen 4 facilities enabled us to make visionary advances that addressed the challenges of building, running, and operating facilities all in one concerted effort.
Это определенно путешествие, а не конечный пункт назначения. На самом деле, наш проект ЦОД четвертого поколения подвергался серьезным испытаниям на жизнеспособность и затраты на протяжении целого года. Хотя необходимость в коммерческом росте требовала от нас постоянных капиталовложений, мы рассматривали каждый этап своего развития как шаг к будущим инновациям в области дата-центров. Проект наших будущих ЦОД четвертого поколения Gen 4 позволил нам делать фантастические предположения, которые касались задач строительства, управления и эксплуатации объектов как единого упорядоченного процесса.
Тематики
Синонимы
EN
Англо-русский словарь нормативно-технической терминологии > modular data center
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4 all
1. attributive adjective1) (entire extent or quantity of) ganzall my money — all mein Geld; mein ganzes Geld
stop all this noise/shouting! — hör mit dem Krach/Geschrei auf!
all my books — all[e] meine Bücher
where are all the glasses? — wo sind all die Gläser?
All Fools' Day — der 1. April
3) (any whatever) jeglicher/jegliche/jegliches4) (greatest possible)in all innocence — in aller Unschuld
2. nounwith all speed — so schnell wie möglich
1) (all persons) alleone and all — [alle] ohne Ausnahme
the happiest/most beautiful of all — der/die Glücklichste/die Schönste unter allen
most of all — am meisten
he ran fastest of all — er lief am schnellsten
2) (every bit)all of it/the money — alles/das ganze od. alles Geld
3)4) (all things) allesall I need is the money — ich brauche nur das Geld
all is not lost — es ist nicht alles verloren
most of all — am meisten
it was all but impossible — es war fast unmöglich
all in all — alles in allem
it's all the same or all one to me — es ist mir ganz egal od. völlig gleichgültig
you are not disturbing me at all — du störst mich nicht im geringsten
nothing at all — gar nichts
not at all happy/well — überhaupt nicht glücklich/gesund
not at all! — überhaupt nicht!; (acknowledging thanks) gern geschehen!; nichts zu danken!
5) (Sport)3. adverbtwo [goals] all — zwei zu zwei; (Tennis)
all the better/worse [for that] — um so besser/schlimmer
I feel all the better for it — das hat mir wirklich gut getan
all at once — (suddenly) plötzlich; (simultaneously) alle[s] zugleich
be all for something — (coll.) sehr für etwas sein
go all out [to do something] — alles daransetzen[, etwas zu tun]
be all ready [to go] — (coll.) fertig [zum Weggehen] sein (ugs.)
something is all right — etwas ist in Ordnung; (tolerable) etwas ist ganz gut
work out all right — gut gehen; klappen (ugs.)
that's her, all right — das ist sie, ganz recht
yes, all right — ja, gut
it's all right by or with me — das ist mir recht
lie all round the room — überall im Zimmer herumliegen
I don't think he's all there — (coll.) ich glaube, er ist nicht ganz da (ugs.)
* * *[o:l] 1. adjective, pronoun 2. adverb2) ((with the) much; even: Your low pay is all the more reason to find a new job; I feel all the better for a shower.) um so•- academic.ru/94374/all-clear">all-clear- all-out
- all-round
- all-rounder
- all-terrain vehicle
- all along
- all at once
- all in
- all in all
- all over
- all right
- in all* * *I. adj attr, invare those \all the documents you can find? sind das alle Papiere, die du finden kannst?\all my glasses are broken alle meine [o meine ganzen] Gläser sind kaputt, meine Gläser sind alle [o fam allesamt] kaputt\all children should have a right to education alle Kinder sollten ein Recht auf Bildung haben\all her children go to public school alle ihre Kinder besuchen eine Privatschule, ihre Kinder besuchen alle [o fam allesamt] ein Privatschule20% of \all items sold had been reduced 20 % aller verkauften Artikel waren reduziert\all six [of the] men are electricians alle sechs [Männer] sind ElektrikerI had to use \all my powers of persuasion ich musste meine ganze Überzeugungskraft aufbietenI've locked myself out — of \all the stupid things to do! ich habe mich ausgeschlossen! — wie kann man nur so blöd sein!on \all fours auf allen vierenfrom \all directions aus allen Richtungen\all the people alle [Leute]why did the take him, of \all people? warum haben sie ausgerechnet ihn genommen?\all the others alle anderenthey lost \all their money sie haben ihr ganzes Geld verloren\all day [long] den ganzen Tag [lang]\all her life ihr ganzes Lebenfor \all the money trotz des ganzen Geldes\all the time die ganze Zeithe was unemployed for \all that time er war all die Zeit [o die ganze Zeit über] [o während der ganzen Zeit] arbeitslos\all the way den ganzen [weiten] Weg\all week/year die ganze Woche/das ganze Jahr\all wood should be treated jedes Holz sollte [o alle Holzarten sollten] behandelt werden4. (the greatest possible) allin \all honesty [or sincerity] ganz ehrlichwith \all speed so schnell wie möglichin \all probability aller Wahrscheinlichkeit nach5. (any whatever) jegliche(r, s)she denied \all knowledge of the matter sie stritt ab, irgendetwas über die Sache zu wissenbeyond \all doubt jenseits allen Zweifels6.for \all her money she is not happy trotz ihres ganzen Geldes ist sie nicht glücklich▶ not as... as \all that:he's not as rich as \all that so reich ist er nun auch wieder nichtII. pronthe best-looking of \all der Bestaussehende von allenwe saw \all of them wir haben [sie] alle gesehen\all of them [or they \all] liked the film der Film hat ihnen allen [o allen von ihnen] gefallenthe house has four bedrooms, \all with balconies das Haus hat vier Schlafzimmer, alle mit Balkonher last novel was [the] best of \all ihr letzter Roman war der beste von allen\all but one of the pupils came to the outing bis auf einen Schüler nahmen alle am Ausflug teil\all and sundry jedermann, Gott und die Weltone and \all allelet's sing now one and \all! lasst uns jetzt alle zusammen singen!\all but... alle außer..., bis auf...2. (everything) allesit was \all very strange es war alles sehr seltsam\all is not lost yet noch ist nicht alles verlorentell me \all about it erzähl mir alles darüberhe's eaten \all of it [or eaten it \all] er hat alles aufgegessenhave you drunk \all of the milk? hast du die ganze Milch getrunken?first of \all zuerst; (most importantly) vor allemmost of \all am meistenthere are many professions which interest him, but most of \all, he'd like to be a zookeeper viele Berufe interessieren ihn, aber am liebsten wäre er Zoowärter\all in one alles in einema corkscrew and bottle-opener \all in one ein Korkenzieher und Flaschenöffner in einemand \all ( fam) und all demwhat with the fog and \all, I'd really not drive tonight ( fam) bei dem Nebel und so möchte ich heute Nacht wirklich nicht fahren famit was \all that he had es war alles, was er hatteit's \all [that] I can do for you mehr kann ich nicht für dich tun\all I want is to be left alone ich will nur in Ruhe gelassen werdenthe remark was so silly, it was \all she could do not to laugh die Bemerkung war so dumm, dass sie sich sehr zusammenreißen musste, um nicht zu lachen\all [that] it takes is a little bit of luck man braucht nur etwas Glückfor \all...:for \all I care,.... von mir aus...for \all I know,... (as far as I know) soviel [o soweit] ich weiß...; (I don't know) was weiß ich,...are the married? — for \all I know they could be sind sie verheiratet? — was weiß ich, schon möglich!where is she? — for \all I know she could be on holidays wo ist sie? — was weiß ich, vielleicht [ist sie] im Urlaub!4. (for emphasis)at \all überhauptdo you ever travel to the States at \all? fährst du überhaupt je in die Staaten?if at \all wenn überhauptnothing [or not anything] at \all überhaupt nichtsnot at \all überhaupt nichtthanks very much for your help — not at \all, it was a pleasure vielen Dank für Ihre Hilfe — keine Ursache [o nichts zu danken], es war mir ein Vergnügen5.get one for me and \all bring mir auch einen▶ in \all insgesamtthat's £20 in \all das macht alles zusammen 20 Pfund▶ \all in \all alles in allemit's going to cost \all of a million dollars das kostet mindestens eine Million Dollarthe book has sold \all of 200/400,000 copies von dem Buch sind ganze 200/gut 400.000 Exemplare verkauft worden▶ to be \all one to sb jdm egal [o gleich] sein▶ \all told insgesamtthey tried a dozen times \all told sie versuchten es insgesamt ein Dutzend Mal1. (entirely) ganz, völligit's \all about money these days heutzutage geht es nur ums Geldshe's been \all round the world sie war schon überall auf der Weltto be \all in favour of sth ganz [o völlig] begeistert von etw dat sein\all in green ganz in Grünto be \all in one piece heil [o unbeschädigt] seinto spill sth \all over the place/floor etw überall/über den gesamten Boden verschüttenthe baby got food \all over its bib das Baby hatte sich sein ganzes Lätzchen vollgekleckertto be not \all that happy nicht gerade glücklich sein\all alone ganz allein\all along die ganze Zeitshe's been fooling us \all along sie hat uns die ganze Zeit getäuschtto be \all over aus und vorbei seinto be \all for doing sth ganz dafür sein, etw zu tunmy son is \all for spending the summer on the beach mein Sohn will den Sommer unbedingt am Strand verbringenthe newspaper was \all advertisements die Zeitung bestand fast nur aus AnzeigenI was \all the family she ever had ich war die einzige Familie, die sie je hattehe was \all smiles er strahlte über das ganze Gesichtto be \all charm seinen ganzen Charme spielenlassento be \all ears ganz Ohr seinto be \all eyes gespannt zusehento be \all a flutter ganz aus dem Häuschen sein famto be \all silk/wool aus reiner Seide/Wolle sein3.\all the better [for that]! umso besser!now that he's a star he'll be \all the more difficult to work with jetzt wo er ein Star ist, wird die Zusammenarbeit mit ihm umso schwieriger seinI feel \all the better for your visit seit du da bist, geht es mir schon viel besser4. (for emphasis) äußerst, ausgesprochenshe was \all excited sie war ganz aufgeregtnow don't get \all upset about it nun reg dich doch nicht so [furchtbar] darüber aufyour proposal is \all very well in theory, but... in der Theorie ist dein Vorschlag ja schön und gut, aber...\all too... nur zu...I'm \all too aware of the problems die Probleme sind mir nur zu gegenwärtigthe end of the holiday came \all too soon der Urlaub war nur viel zu schnell zu Endethe score is three \all es steht drei zu drei [unentschieden] [o drei beide6.she doesn't sing \all that well sie kann nicht besonders toll singen famto not be \all that... (not as much as thought) so... nun auch wieder nicht seinhe's not \all that important so wichtig ist er nun auch wieder nicht7. (nearly)\all but fastthe party was \all but over when we arrived die Party war schon fast vorbei, als wir ankamenit was \all but impossible to read his writing es war nahezu unmöglich, seine Handschrift zu entziffern8.the holiday cost £600 \all in alles inklusive hat der Urlaub hat 600 Pfund gekostet▶ to be \all over sb ( pej: excessively enthusiastic) sich akk [geradezu] auf jdn stürzen; ( fam: harass) jdn total anmachen fam, über jdn herfallen ÖSTERR fam▶ that's sb \all over das sieht jdm ähnlichhe invited me out for dinner and then discovered he didn't have any money — that's Bill \all over! er lud mich ein, mit ihm auswärts zu essen, und merkte dann, dass er kein Geld bei sich hatte — typisch Bill!▶ to be \all over the place [or BRIT shop] ( fam: badly organised) [völlig] chaotisch sein; (confused) völlig von der Rolle [o ÖSTERR daneben] sein famthat was a success/good performance \all round das war ein voller Erfolg/eine rundum gelungene Vorstellunghe bought drinks \all round er gab eine Runde Getränke aus▶ to be not \all there ( fam) nicht ganz richtig [im Kopf] sein fam, nicht alle Tassen im Schrank haben fig famit looks as though it's \all up with us now es sieht so aus, als seien wir nun endgültig am Ende fam* * *[ɔːl]1. ADJECTIVEwith nouns plural alle; (singular) ganze(r, s), alle(r, s)When alle is used to translate all the it is not followed by the German article.all the problems have been solved — alle or sämtliche Probleme wurden gelöst
all the tobacco —
all the milk all the fruit — die ganze Milch, alle Milch das ganze Obst, alles Obst
all my books/friends — alle meine Bücher/Freunde, meine ganzen Bücher/Freunde
they all came —
I invited them all — ich habe sie alle eingeladen Note that it all is usually translated by alles alone:
he took/spent it all — er hat alles genommen/ausgegeben
it all happened so quickly — alles geschah so schnell, es geschah alles so schnell
he's seen/done it all — für ihn gibt es nichts Neues mehr, ihn kann nichts mehr erschüttern (inf)
what's all this/that about? — was soll das Ganze?
what's all this/that? — was ist denn das?; (annoyed) was soll denn das!
2. PRONOUN1) = everything allesI'm just curious, that's all — ich bin nur neugierig, das ist alles
that's all he said — das ist alles, was er gesagt hat, mehr hat er nicht gesagt
that is all (that) I can tell you — mehr kann ich Ihnen nicht sagen
it was all I could do not to laugh — ich musste an mich halten, um nicht zu lachen
all of Paris/of the house — ganz Paris/das ganze Haus
all of 5 kms/£5 —
2) = everybody alle plall who knew him — alle, die ihn kannten
the score was two all — es stand zwei zu zwei
3. ADVERB(= quite, entirely) ganzdressed all in white, all dressed in white — ganz in Weiß (gekleidet)
all dirty/excited etc — ganz schmutzig/aufgeregt etc
an all wool carpet — ein reinwollener Teppich, ein Teppich aus reiner Wolle
he ordered whiskies/drinks all round —
I'll tell you all about it — ich erzähl dir alles
4. NOUN__diams; one's all alleshe staked his all on this race/deal — er setzte alles auf dieses Rennen/Unternehmen
5. SET STRUCTURES__diams; all along (= from the start) von Anfang an, die ganze Zeit (über)I feared that all along — das habe ich von Anfang an befürchtet, das habe ich schon die ganze Zeit (über) befürchtet
he all but died —
the party won all but six of the seats — die Partei hat alle außer sechs Sitzen or alle bis auf sechs Sitze gewonnen
I'm all for it! — ich bin ganz dafür __diams; all found insgesamt, alles in allem __diams; all in ( inf
to be or feel all in — total erledigt sein (inf) __diams; all in all alles in allem
all the hotter/prettier/happier etc — noch heißer/hübscher/glücklicher etc
all the funnier because... — umso lustiger, weil...
or vacation (US) — jetzt, wo ich Urlaub gemacht habe, gehts mir viel besser
all the more so since... —
all the same, it's a pity — trotzdem ist es schade
it's all the same to me —
he's all there/not all there — er ist voll da/nicht ganz da (inf) __diams; all too + adjective/adverb
all too soon/quickly — viel zu or allzu früh/schnell
he ate the orange, peel and all — er hat die ganze Orange gegessen, samt der Schale
the whole family came, children and all — die Familie kam mit Kind und Kegel
did/didn't you say anything at all? — haben Sie überhaupt etwas gesagt/gar or überhaupt nichts gesagt?
I'm not at all sure, I'm not sure at all — ich bin mir ganz und gar nicht sicher, ich bin gar nicht ganz sicher
I'm not at all angry etc, I'm not angry etc at all — ich bin überhaupt nicht wütend etc, ich bin ganz und gar nicht wütend etc
for all that — trotz allem, trotzdem
for all I know she could be ill —
is he in Paris? – for all I know he could be — ist er in Paris? – schon möglich, was weiß ich!
ten people in all — insgesamt zehn Personen __diams; all that ( US inf ) einfach super (inf)
it's not all that bad, it's not as bad as all that — so schlimm ist es nun auch wieder nicht
happiest/earliest/clearest etc of all —
I like him best of all — von allen mag ich ihn am liebsten
most of all —
most of all I'd like to be... — am liebsten wäre ich...
the best car of all — das allerbeste Auto __diams; to be all things to all men (person) sich mit jedem gutstellen; (thing, invention, new software etc) das Ideale sein
a party which claims to be all things to all men — eine Partei, die behauptet, allen etwas zu bieten __diams; you all ( US inf ) ihr (alle); (to two people) ihr (beide)
* * *all [ɔːl]A adj1. all, sämtlich, gesamt, vollständig, ganz:all one’s courage seinen ganzen Mut;all mistakes alle oder sämtliche Fehler;all my friends alle meine Freunde;all night (long) die ganze Nacht (hindurch);all (the) day, all day long den ganzen Tag, den lieben langen Tag;all day and every day tagelang; tagaus, tagein;open all day ganztägig geöffnet;a) die ganze Zeit (über),b) ständig, immer;at all times zu jeder Zeit, jederzeit;2. jeder, jede, jedes, alle pl:at all hours zu jeder Stunde;beyond all question ohne Frage, fraglos;in all respects in jeder Hinsicht;3. vollkommen, völlig, total, ganz, rein:all nonsense reiner Unsinn;B adv1. ganz (u. gar), gänzlich, völlig:all alone ganz allein;all the um so …;all the better um so besser;she was all gratitude sie war voll(er) Dankbarkeit;she is all kindness sie ist die Güte selber;all one einerlei, gleichgültig;he is all for it er ist unbedingt dafür;all important äußerst wichtig, entscheidend;all mad völlig verrückt;2. für jede Seite, beide:the score was two all das Spiel stand zwei zu zwei3. poet gerade, ebenC pron alles:all of it alles, das Ganze;all of us wir alle;good night, all gute Nacht allerseits!;all of a year ein ganzes Jahr;that’s all das ist oder wäre alles;that’s all there is to it das ist die ganze Geschichte;all or nothing alles oder nichts;it’s all or nothing for es geht um alles oder nichts für;it all began die ganze Sache begann;and all that und dergleichen;D s1. alles:a) sein Hab und Gut,a) rund(her)um, ringsumher,b) überall,all in all alles in allem;his wife is all in all to him seine Frau bedeutet ihm alles;all out umga) total fertig oder erledigt,b) auf dem Holzweg (im Irrtum),c) mit aller Macht ( for sth auf etwas aus), mit restlosem Einsatz,a) alles daransetzen, aufs Ganze gehen,a) umg ganz und gar,b) überall,c) überallhin, in ganz England etc herum, im ganzen Haus etc herum,d) auch all over one’s body am ganzen Körper, überall that is Doug all over das ist ganz oder typisch Doug, das sieht Doug ähnlich;news from all over Nachrichten von überall her;be all over sb umg an jemandem einen Narren gefressen haben;a) ganz recht oder richtig,b) schon gut,d) na schön!,e) umg mit Sicherheit, ohne Zweifel,f) erlaubt I’m all right bei mir ist alles in Ornung;he’s all right ihm ist nichts passiert;I’m all right, Jack umg Hauptsache, mir geht’s gut;a) geeignet sein oder passen für,b) annehmbar sein für it’s all right for you to laugh du hast gut lachen;I’m all right for money umg bei mir stimmt die Kasse;are you all right in that chair? sitzt du gut in dem Sessel?;is it all right if I’ …? darf ich …?;he arrived all right er ist gut angekommen;a) rund(her)um, ringsumher,b) überall,all there gewitzt, gescheit, auf Draht umg;he is not all there er ist nicht ganz bei Trost;it’s all up with him mit ihm ists aus;he of all people came ausgerechnet er kam;I thought you of all people would understand ich dachte, gerade du würdest das verstehen; (siehe weitere Verbindungen unter den entsprechenden Stichwörtern)* * *1. attributive adjective1) (entire extent or quantity of) ganzall my money — all mein Geld; mein ganzes Geld
stop all this noise/shouting! — hör mit dem Krach/Geschrei auf!
2) (entire number of) alleall my books — all[e] meine Bücher
All Fools' Day — der 1. April
3) (any whatever) jeglicher/jegliche/jegliches2. noun1) (all persons) alleone and all — [alle] ohne Ausnahme
the happiest/most beautiful of all — der/die Glücklichste/die Schönste unter allen
2) (every bit)all of it/the money — alles/das ganze od. alles Geld
3)all of (coll.): (as much as) be all of seven feet tall — gut sieben Fuß groß sein
4) (all things) allesit's all the same or all one to me — es ist mir ganz egal od. völlig gleichgültig
not at all happy/well — überhaupt nicht glücklich/gesund
not at all! — überhaupt nicht!; (acknowledging thanks) gern geschehen!; nichts zu danken!
5) (Sport)3. adverbtwo [goals] all — zwei zu zwei; (Tennis)
all the better/worse [for that] — um so besser/schlimmer
all at once — (suddenly) plötzlich; (simultaneously) alle[s] zugleich
be all for something — (coll.) sehr für etwas sein
be all in — (exhausted) total od. völlig erledigt sein (ugs.)
go all out [to do something] — alles daransetzen[, etwas zu tun]
be all ready [to go] — (coll.) fertig [zum Weggehen] sein (ugs.)
something is all right — etwas ist in Ordnung; (tolerable) etwas ist ganz gut
work out all right — gut gehen; klappen (ugs.)
that's her, all right — das ist sie, ganz recht
yes, all right — ja, gut
it's all right by or with me — das ist mir recht
I don't think he's all there — (coll.) ich glaube, er ist nicht ganz da (ugs.)
* * *adj.all adj.ganz adj.jeder adj.sämtlich adj.
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