Title :
Magnet: A novel scheduling policy for power reduction in cluster with virtual machines
Author :
Hu, Liting ; Jin, Hai ; Liao, Xiaofei ; Xiong, Xianjie ; Liu, Haikun
Author_Institution :
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
fDate :
Sept. 29 2008-Oct. 1 2008
Abstract :
The concept of green computing has attracted much attention recently in cluster computing. However, previous local approaches focused on saving the energy cost of the components in a single workstation without a global vision on the whole cluster, so it achieved undesirable power reduction effect. Other cluster-wide energy saving techniques could only be applied to homogeneous workstations and specific applications. This paper describes the design and implementation of a novel approach that uses live migration of virtual machines to transfer load among the nodes on a multilayer ring-based overlay. This scheme can reduce the power consumption greatly by regarding all the cluster nodes as a whole. Plus, it can be applied to both the homogeneous and heterogeneous servers. Experimental measurements show that the new method can reduce the power consumption by 74.8% over base at most with certain adjustably acceptable overhead. The effectiveness and performance insights are also analytically verified.
Keywords :
energy conservation; power engineering computing; virtual machines; workstation clusters; Magnet; cluster computing; cluster-wide energy saving; energy cost saving; green computing; heterogeneous servers; homogeneous workstation; power consumption reduction; scheduling policy; virtual machines; Clustering algorithms; Costs; Energy consumption; Grid computing; Hardware; Turning; Virtual machining; Virtual manufacturing; Voice mail; Workstations;
Conference_Titel :
Cluster Computing, 2008 IEEE International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4244-2639-3
Electronic_ISBN :
1552-5244
DOI :
10.1109/CLUSTR.2008.4663751