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Titlebook: Analytical Performance Modeling for Computer Systems, Second Edition; Y. C. Tay Book 2014Latest edition Springer Nature Switzerland AG 201

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楼主: Considerate
发表于 2025-3-23 13:35:54 | 显示全部楼层
Model Derivation on a Globally Flat Space,As we can see from the previous chapter, the solution of closed queueing networks can be very tedious. This is so even for separable networks (which are easy to solve if they are open, as we saw in Chapter 3).
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https://doi.org/10.1007/978-3-662-41307-4Every analytical model of a computer system needs experimental measurements to validate it. These experiments are often used to analyze the system as well. This chapter discusses some issues in model validation and experimental analysis.
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Single Queues,A typical computer system has queues everywhere. A queue imposes order on a set of tasks, making some wait for others. Such waiting is usually wasted time, so modeling system performance requires an understanding of queue behavior. This chapter introduces some elementary queueing theory.
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Markov Chains,A birth-death process is an example of a one-dimensional Markov chain. Markov chains are applicable far beyond queueing analysis: They have a flexibility that makes them easy to use when analyzing the performance of disparate systems. This chapter looks at examples of two multidimensional Markov chains.
发表于 2025-3-24 22:20:37 | 显示全部楼层
Closed Systems,As we can see from the previous chapter, the solution of closed queueing networks can be very tedious. This is so even for separable networks (which are easy to solve if they are open, as we saw in Chapter 3).
发表于 2025-3-25 01:19:27 | 显示全部楼层
Transient Analysis,Analyzing transient behavior is generally a difficult task; for example, Little’s Law no longer applies. This is why, except for the stability analysis in the previous chapter, we have focused on the steady state.
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