Computer Science and Engineering, Department of
Computer Science, Computer Engineering, and Bioinformatics: Dissertations, Theses, and Student Research
Date of this Version
Summer 6-13-2014
Document Type
Article
Citation
Leping Wang, (2014). Power management in the cluster System. (Master's thesis). University of Nebraska-Lincoln. Lincoln, NE
Abstract
With growing cost of electricity, the power management of server clusters has become an important problem. However, most previous researchers have only addressed the challenge in traditional homogeneous environments. Considering the increasing popularity of heterogeneous and virtualized systems, this thesis develops a series of efficient algorithms respectively for power management of heterogeneous soft real-time clusters and a virtualized cluster system. It is built on simple but effective mathematical models. When deployed to a new platform, the software incurs low configuration cost because no extensive performance measurements and profiling are required. Built upon optimization, queuing theory and control theory techniques, our approach achieves the design goal, where QoS is provided to a larger number of requests with a smaller amount of power consumption. To strive for efficiency, a threshold based approach is adopted in the first part of the thesis. Then we systematically study this approach and its design decisions. To deploy our mechanisms on the virtualized clusters, we extend the work by developing a novel power-efficient workload distribution algorithm.
Adviser: Ying Lu
Included in
Computer and Systems Architecture Commons, OS and Networks Commons, Systems Architecture Commons
Comments
A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science, Major: Computer Science, Under the Supervision of Ying Lu. Lincoln, Nebraska: June, 2014
Copyright (c) 2014 Leping Wang