Distributed cooperative control for adaptive performance management

Mianyu Wang, Nagarajan Kandasamy, Allon Guez, Moshe Kam

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The authors' distributed cooperative-control framework uses concepts from optimal control theory to adaptively manage the performance of computer clusters operating in dynamic and uncertain environments. Decomposing the overall performance-management problem into smaller sub problems that individual controllers solve cooperatively allows for the scalable control of large computing systems. The framework also adapts to controller failures and allows for the dynamic addition and removal of controllers during system operation. This article presents a case study showing how to manage the dynamic power consumed by a computer cluster processing a time varying Web workload.

Original languageEnglish (US)
Pages (from-to)31-39
Number of pages9
JournalIEEE Internet Computing
Volume11
Issue number1
DOIs
StatePublished - Jan 1 2007
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Keywords

  • Autonomic computing
  • Distributed and cooperative control
  • Optimal control
  • Power management

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