Title :
Power-efficient workload distribution for virtualized server clusters
Author :
Wang, Leping ; Lu, Ying
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Nebraska - Lincoln, Lincoln, NE, USA
Abstract :
With growing cost of electricity, the power management of server clusters has become an important problem. Most existing research, however, either do not apply to virtualized environments or do not focus on power-efficient workload distribution. To fill in this research gap, we propose a workload distribution algorithm for virtualized server clusters to reduce their power consumptions and provide quality of service (QoS). 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.
Keywords :
network servers; power aware computing; power consumption; quality of service; virtual machines; control theory technique; power consumption; power management; power-efficient workload distribution algorithm; quality of service; queuing theory; virtualized environment; virtualized server cluster; Admission control; Algorithm design and analysis; Clustering algorithms; Optimization; Power demand; Servers;
Conference_Titel :
High Performance Computing (HiPC), 2010 International Conference on
Conference_Location :
Dona Paula
Print_ISBN :
978-1-4244-8518-5
Electronic_ISBN :
978-1-4244-8519-2
DOI :
10.1109/HIPC.2010.5713178