Distributed Cooperative Control for Adaptive Performance Management

Author

Wang, Mianyu ; Kandasamy, Nagarajan ; Guez, Allon ; Kam, Moshe

Author_Institution

Drexel Univ., Philadelphia, PA

Volume

11

Issue

1

fYear

2007

Firstpage

31

Lastpage

39

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 subproblems 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

Keywords

Internet; computer network management; distributed control; optimal control; power aware computing; workstation clusters; adaptive performance management; computer clusters; distributed cooperative control; large computing system; optimal control; time-varying Web workload; Adaptive control; Control systems; Distributed computing; Distributed control; Energy management; Human resource management; Load management; Optimal control; Power system management; Programmable control; autonomic computing; distributed and cooperative control; optimal control; power management;

fLanguage

English

Journal_Title

Internet Computing, IEEE

Publisher

ieee

ISSN

1089-7801

Type

jour

DOI

10.1109/MIC.2007.7

Filename

4061118