Optimal dynamic server allocation in systems with on/off sources

Authors:
Joris Slegers;Isi Mitrani;Nigel Thomas
Affiliations:
School of Computing Science, Newcastle University;School of Computing Science, Newcastle University;School of Computing Science, Newcastle University
Venue:
EPEW'07 Proceedings of the 4th European performance engineering conference on Formal methods and stochastic models for performance evaluation
Year:
2007

Citing 2
Cited 3

Optimal and heuristic policies for dynamic server allocation

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Evaluating the optimal server allocation policy for clusters with on/off sources

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Abstract

A system consisting of several servers, where demands of different types arrive in bursts, is examined. The servers can be dynamically reallocated to deal with the different requests, but these switches take time and incur a cost. The problem is to find the optimal dynamic allocation policy. To this end a Markov decision process is solved, using two different techniques. The effects of different solution methods and modeling decisions on the resulting solution are examined.