Motivated by a data center setting, we study the problem of joint dispatching and server sleep state control in a system consisting of two queues in parallel. Using the theory of Markov decision processes and a novel lookahead approach, we explicitly determine near-optimal control policies that minimize a combination of QoE costs, energy costs, and wear and tear costs due to switching. Guidelines are provided as to when these combined policies are most effective.
CITATION STYLE
Hyytiä, E., Down, D., Lassila, P., & Aalto, S. (2018). Dynamic Control of Running Servers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10740 LNCS, pp. 127–141). Springer Verlag. https://doi.org/10.1007/978-3-319-74947-1_9
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