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Robustness and analytic computer system models

机译:鲁棒性和分析性计算机系统模型

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The use of simulation studies to investigate the behavior of computer hardware/software systems is well established, although in some sense analytic models are more desirable. Simulation is used in a situation which is completely intractable to analytic machinery, or for which the essence is lost when the prerequisite abstractions and simplifying assumptions necessary to the analytic technique are made. In this paper, the term analytic model is used to refer to that set of computer system models based upon queuing theory.

Many view the operating system as a network of resources each potentially precipitating queues. Such a view allows the units passing through the network to request (employ) the devices in various combinations in a multiprogramming environment. The computing system is thus viewed as sequences of resource seizures and releases (processors, memory and input-output equipment) with appropriate holding time assumptions. In many cases, the models indicate rather clearly how various policies and variables interact to effect system performance, and the predictions of some coincide well with measurable data.

机译:尽管在某种意义上更需要分析模型,但使用模拟研究来调查计算机硬件/软件系统的行为已得到充分确立。在无法完全用于分析机制的情况下使用模拟,或者在进行必要的抽象和简化分析技术所需的假设时失去了本质。本文使用术语“解析模型”来指代基于排队论的那套计算机系统模型。

许多人将操作系统视为资源网络,每个资源潜在地在排队。这种视图允许通过网络的单元在多编程环境中以各种组合请求(使用)设备。因此,将计算系统视为具有适当保持时间假设的资源占用和释放(处理器,内存和输入输出设备)的序列。在许多情况下,这些模型非常清楚地表明了各种策略和变量如何相互作用以影响系统性能,并且其中一些预测与可测数据吻合得很好。

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