Stochastic Processes and Queueing Theory used in Cloud Computer Performance Simulations
Florin-Catalin Enache ()
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Florin-Catalin Enache: University of Economic Studies, Bucharest, Romania
Database Systems Journal, 2015, vol. 6, issue 2, 56-62
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.
Keywords: capacity planning; capacity management; queueing theory; statistics; metrics (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:6:y:2015:i:2:p:56-62
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