Optimal sleep patterns for serving delay-tolerant jobs

Ioannis Kamitsos, Lachlan Andrew, Hongseok Kim, Mung Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations

Abstract

Sleeping is an important method to reduce energy consumption in many information and communication systems. In this paper we focus on a typical server under dynamic load, where entering and leaving sleeping mode incurs an energy and a response time penalty. We seek to understand under what kind of system configuration and control method will sleep mode obtain a Pareto Optimal tradeoff between energy saving and average response time. We prove that the optimal "sleeping" policy has a simple hysteretic structure. Simulation results then show that this policy results in significant energy savings, especially for relatively delay insensitive applications and under low traffic load. However, we demonstrate that seeking the maximum energy saving presents another tradeoff: it drives up the peak temperature in the server, with potential reliability consequences.

Original languageEnglish (US)
Title of host publicationProceedings of the e-Energy 2010 - 1st Int'l Conf. on Energy-Efficient Computing and Networking
Pages31-40
Number of pages10
DOIs
StatePublished - 2010
Event1st International Conference on Energy-Efficient Computing and Networking, e-Energy 2010 - Passau, Germany
Duration: Apr 13 2010Apr 15 2010

Publication series

NameProceedings of the e-Energy 2010 - 1st Int'l Conf. on Energy-Efficient Computing and Networking

Other

Other1st International Conference on Energy-Efficient Computing and Networking, e-Energy 2010
Country/TerritoryGermany
CityPassau
Period4/13/104/15/10

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

Keywords

  • Markov decision process
  • Pareto tradeoff
  • energy efficiency
  • sleep state
  • switching cost

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