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Stochastic Processes and Queueing Theory used in Cloud Computer Performance Simulations

机译:云计算机性能仿真中使用的随机过程和排队论

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The growing character of the cloud business has manifested exponentially in the last 5 years. The capacity managers need to concentrate on a practical way to simulate the random demands a cloud infrastructure could face, even if there are not too many mathematical tools to simulate such demands.This paper presents an introduction into the most important stochastic processes and queueing theory concepts used for modeling computer performance. Moreover, it shows the cases where such concepts are applicable and when not, using clear programming examples on how to simulate a queue, and how to use and validate a simulation, when there are no mathematical concepts to back it up.
机译:在过去的五年中,云业务的增长特征已呈指数增长。容量管理人员需要专注于一种实用的方法来模拟云基础架构可能面临的随机需求,即使没有太多数学工具可以模拟这种需求。本文介绍了最重要的随机过程和排队理论概念用于对计算机性能进行建模。此外,它在没有数学概念支持的情况下,使用清晰的编程示例说明如何模拟队列以及如何使用和验证模拟,从而显示了适用和不适用此类概念的情况。

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