Energy conservation modeling and online optimization for multimedia server cluster systems

Han Hu, Jian Yang, Liyue Zhu, Hongsheng Xi

Research output: Contribution to journalArticlepeer-review

Abstract

An energy conservation optimal control approach is proposed for multimedia server cluster systems based on Markov switching state space control model. First the stochastic control model is introduced for multimedia server cluster systems. Under this model, the energy conservation control problem is formulated as a constrained optimization problem. Based on Lagrange multipliers method and performance potential theory, an online policy iterative algorithm is proposed. The algorithm solves the optimal control policy on-line by sample path and the solving procedure does not need any accurate system parameter information. Simulation experiments demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)125-131
Number of pages7
JournalInformation and Control
Volume42
Issue number1
DOIs
Publication statusPublished - Feb 2013
Externally publishedYes

Keywords

  • Dynamic energy conservation management
  • Markov decision process
  • Online optimization
  • Performance potential

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