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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/13348
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dc.contributor.advisorDown, Douglas G.en_US
dc.contributor.advisorKarakostas, Georgeen_US
dc.contributor.authorMaccio, Vincent J.en_US
dc.date.accessioned2014-06-18T17:03:41Z-
dc.date.available2014-06-18T17:03:41Z-
dc.date.created2013-09-17en_US
dc.date.issued2013-10en_US
dc.identifier.otheropendissertations/8169en_US
dc.identifier.other9284en_US
dc.identifier.other4595486en_US
dc.identifier.urihttp://hdl.handle.net/11375/13348-
dc.description.abstract<p>As energy costs and energy used by server farms increase, so does the desire to implement energy-aware policies. Although under some cost functions, optimal policies for single as well as multiple server systems are known, large gaps in theoretical knowledge are present in the field. Specifically, there exists many widely used and non-trivial cost functions, where the corresponding optimal policy remains unknown. This work presents and leverages a model which allows for the exact analysis of these optimal policies with considerable generality, for on/off single server systems under a broad range of cost functions that are based on expected response time, energy usage and switching costs. Furthermore, from the results derived in the analysis, several applications and implications are presented and discussed. This includes the determination of routing probabilities to show a range of non-trivial optimal routing probabilities and server configurations when energy concerns are a factor.</p>en_US
dc.subjectstochastic modellingen_US
dc.subjectMarkov chainen_US
dc.subjectenergy-aware serveren_US
dc.subjectOperational Researchen_US
dc.subjectPower and Energyen_US
dc.subjectSoftware Engineeringen_US
dc.subjectStatistical Modelsen_US
dc.subjectOperational Researchen_US
dc.titleOn Optimal Policies for Energy-Aware Serversen_US
dc.typethesisen_US
dc.contributor.departmentComputing and Softwareen_US
dc.description.degreeMaster of Applied Science (MASc)en_US
Appears in Collections:Open Access Dissertations and Theses

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