Issue No. 01 - January/February (2007 vol. 11)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2007.7
Mianyu Wang , Drexel University
Nagarajan Kandasamy , Drexel University
Allon Guez , Drexel University
Moshe Kam , Drexel University
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.
autonomic computing, distributed and cooperative control, optimal control, power management
M. Kam, A. Guez, M. Wang and N. Kandasamy, "Distributed Cooperative Control for Adaptive Performance Management," in IEEE Internet Computing, vol. 11, no. , pp. 31-39, 2007.