卒論に使用するため、コンピュータ関係の書物の翻訳をお願いします
- コンピュータ関係の書物の翻訳をお願いします。卒論に使用するため、コンピュータ関係の書物の文章です。
- タスクの完了までの平均時間を応答時間、単位時間で完了できるタスクの平均数をスループットと呼びます。本書では、スループットと応答時間の間には重要な関係があります。システム内の平均並行アクティビティの数、およびそのシステムの並列度とも呼ばれるものは、スループットと応答時間の積です。
- コンピュータ関係の書物の翻訳を希望します。これは卒論で使用するための書物です。タスクの平均応答時間はそのタスクの完了までの時間であり、単位時間で完了できるタスク数の平均はスループットと呼ばれます。スループットと応答時間には重要な関係があり、システム内の平均並行アクティビティ数はスループットと応答時間の積です。
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卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の
卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の文章です。 We call the mean time to complete a task its response time and the mean number of tasks that can be completed in a unit time the throughput. There is an important relationship between throughput and response time that we will use often in this book: the mean number of concurrent activities in a system, also called its degree of parallelism, is the product of the throughput and the response time.
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作業(タスク)を完了するのに要する平均時間を応答時間(response time)と呼び、単位時間(1秒、1分、1時間とか）あたりに完了する作業の数を情報処理量（throughput）という。情報処理量と応答時間の間には今後本書でよく使う重要な関係がある：一つの系で並行して行われる活動(activities)の平均数は並列化度（degree of parallelism）と呼ばれるが、これは情報処理量と応答時間の積である。
関連するQ&A
- 卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の
卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の文章です。 Consider a building that has two floors, with an escalator to carry people from one floor to the other. Ignoring queuing delays, the response time for a passenger is the mean time taken by the escalator to ascend or descend one floor. The throughput (bandwidth) is the mean number of passengers that can be loaded or per second. Suppose that an average of five people step on the escalator in one second, and that the escalator takes an average of 10 seconds to go up one floor. The response time for a passenger, therefore, is 10 seconds, and the throughput of the escalator is 5 passengers/second. Thus, the degree of parallelism, which is the mean number of passengers carried simultaneously, is 5*10=50. To see this, mark a passenger with a daub of red paint as she steps on the escalator. In the ten seconds that she takes to reach the top, we expect that fifty more passengers boarded the escalator. Thus, when she steps off, the escalator carries an average of fifty passengers, which is its degree of parallelism.
- ベストアンサー
- 英語
- 翻訳をお願いしたいです。コンピューター関係の書物の文章です。
翻訳をお願いしたいです。コンピューター関係の書物の文章です。 Consider a building that has two floors, with an escalator to carry people from one floor to the other. Ignoring queuing delays, the response time for a passenger is the mean time taken by the escalator to ascend or descend one floor. The throughput (bandwidth) is the mean number of passengers that can be loaded or per second. Suppose that an average of five people step on the escalator in one second, and that the escalator takes an average of 10 seconds to go up one floor. The response time for a passenger, therefore, is 10 seconds, and the throughput of the escalator is 5 passengers/second. Thus, the degree of parallelism, which is the mean number of passengers carried simultaneously, is 5*10=50. To see this, mark a passenger with a daub of red paint as she steps on the escalator. In the ten seconds that she takes to reach the top, we expect that fifty more passengers boarded the escalator. Thus, when she steps off, the escalator carries an average of fifty passengers, which is its degree of parallelism.
- ベストアンサー
- 英語
- 卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の
卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の文章です。 If, in a system, on an average, 20 tasks complete in 10 seconds, and each task takes 3 seconds, what is the degree of parallelism? Solution : The throughput is 20/10 task/second, and the response time is 3 seconds. Thus, the degree of parallelism = 20/10*3=6. In other words, an average of six tasks execute in parallel in the system.
- ベストアンサー
- 英語
- 翻訳をお願いしたいです。コンピューター関係の書物の文章です。
翻訳をお願いしたいです。コンピューター関係の書物の文章です。 A system designer must typically optimize one or more performance metrics given a set of resource constrains. A performance metric measures some aspect of a system's performance, such as throughput, response time, cost development time, or mean time between failures(we will define these metrics more formally in Section 6.2). A resource constraint is a limitation on a resource, such as time, bandwidth, or computing power, that the design must obey.
- ベストアンサー
- 英語
- 卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の
卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の文章です。 Time can constrain a design in many ways. For example, a user may require a task to complete before a given time, or may want to limit the time taken for a packet to travel from a source to a destination. At a different level, there may be a time constraint on how long it can take to design and build a system (time-to-market). Or, we may want to maximize the mean time between failures. We now study some standard ways to measure the use of time in a system.
- ベストアンサー
- 英語
- 卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の
卒論に使用するため、翻訳をお願いしたいです。コンピューター関係の書物の文章です。 We can describe most computer system resources as a combination of five common resources: time, space, computation, money, and labor. We now study these resources in more detail, with examples of how they arise in real-world problems, and a description of associated performance metrics. Our definitions of these resources are purposely vague, since the exact definition varies with the problem.
- ベストアンサー
- 英語
- 翻訳をお願いしたいです。コンピューター関係の書物の文章です。
翻訳をお願いしたいです。コンピューター関係の書物の文章です。 If we could quantify and control every aspect of a system, then system design would be a relatively simple matter. Unfortunately there are several practical reasons why system design is both an art and a science. First, although we can quantitatively measure some aspects of system performance, such as throughput or response time, we cannot measure others, such as simplicity, scalability, modularity, and elegance. Yet a designer must make a series of trade- offs among these intangible quantities, appealing as much to good sense and personal choice as performance measurements. Second, rapid technological change can make constraint assumptions obsolete. A designer must not only meet the current set of design constraints, but also anticipate how future changes in technology might affect the design. The future is hard to predict, and a designer must appeal to instinct and intuition to make a design "future-proof." Third, market conditions may dictate that design requirements change when part of the design is already complete. Finally, international standards, which themselves change over time, may impose irksome and arbitrary constraints. These factors imply that, in real life, a designer is usually confronted with a complex, underspecified, multifactor optimization problem. In the face of these uncertainties, prescribing the one true path to system design is impossible.
- ベストアンサー
- 英語
- 翻訳をお願いしたいです。コンピューター関係の書物の文章です。
翻訳をお願いしたいです。コンピューター関係の書物の文章です。 System design is important not only in computer systems, but also in other areas, such as automobile design. For example, a car designer might try to maximize the reliability of a car(measured in the mean time between equipment failures) that costs less than $10,000 to build. In this example, the mean time between failures measures performance, and the resource constraint is money. In real life, of course, designs must try to simultaneously optimize many, possibly conflicting metrics (such as reliability, performance, and recyclability) while satisfying many constraints (such as the price of the car and the time allowed for the design).
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- 英語
- 翻訳をお願いしたいです。コンピューター関係の書物の文章です。
翻訳をお願いしたいです。コンピューター関係の書物の文章です。 Nevertheless, it is still, possible to identify some principles of good design that have withstood the test of time and are applicable in a variety of situations. In Section6.2, we will study some common resources, so that the reader can get some intuition in identifying them in real systems. We will then build up, in Section6.3, a set of tool to help us trade freely available (unconstrained) resources for scarce (constrained) ones. Properly applied, these tools allow us to match the design to the constraints at hand. Finally, in Section6.4, we will outline a methodology for performance analysis and tuning. This methodology helps pinpoint problems in a design and build a more efficient and robust system.
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- 英語
- 翻訳をお願いしたいです。コンピューター関係の書物の文章です。翻訳サイト
翻訳をお願いしたいです。コンピューター関係の書物の文章です。翻訳サイトのコピペはご遠慮ください。 In any system, some resources are less constrained than others. We call the most constrained resource in a system(or the binding constraint) its bottleneck. System performance improves if and only if we devote additional resources to a bottlenecked resource. Conversely, decreasing the amount of an unconstrained resource does not adversely affect performance. When we relieve one bottleneck, however, it is possible for another resource to become a bottleneck. Thus, we must remove the bottlenecks one by one until all the resources are equally constrained. We call such a system a balanced system. A balanced system is optimal, in that we fully utilize every component. However, in practice, we rarely achieve balanced systems. Rapid changes in technology, market constraints, and customer expectations mean that a system's components are almost constantly in flux, with the bottleneck moving from place to place in the system.
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