Distributed cooperative control for adaptive performance management

Mianyu Wang; Nagarajan Kandasamy; Allon Guez; Moshe Kam

doi:10.1109/MIC.2007.7

Distributed cooperative control for adaptive performance management

Mianyu Wang, Nagarajan Kandasamy, Allon Guez, Moshe Kam

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	31-39
Number of pages	9
Journal	IEEE Internet Computing
Volume	11
Issue number	1
DOIs	https://doi.org/10.1109/MIC.2007.7
State	Published - Jan 2007
Externally published	Yes

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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10.1109/MIC.2007.7

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Distributed cooperative control for adaptive performance management

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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