DocumentCode :
685798
Title :
A survey on power aware virtual machine placement strategies in a cloud data center
Author :
Ranjana, R. ; Raja, J.
Author_Institution :
Anna Univ., Chennai, India
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
747
Lastpage :
752
Abstract :
Cloud computing is one of the fast spreading technologies for providing utility based IT services to users. These services are provided by large-scale virtualised data centers. As it is these data centers consume large amount of electrical energy for their operation and maintenance. Extensive research had been undertaken to reduce the power consumption of data center by bringing changes in the hardware technology of data center. Alternatively, virtualization can also be used to reduce the power consumption in a data center. Migration of virtual machines(VM), one of the key feature of virtualization can be used to consolidate workloads on fewer servers and thus switch off idle servers to conserve energy. The major concern in any server consolidation technique is the optimal choice of physical server for VM placement. This paper aims to summarise the available VM placement algorithm that takes into consideration the power consumption factor during VM migration. A survey of various solutions to VM placement based on bin packing strategy is discussed.
Keywords :
cloud computing; computer centres; power aware computing; virtual machines; virtualisation; VM migration; VM placement algorithm; bin packing strategy; cloud computing; cloud data center; electrical energy; energy conservation; hardware technology; large-scale virtualised data centers; physical server; power aware virtual machine placement strategies; power consumption factor; power consumption reduction; server consolidation technique; utility-based IT services; virtual machine migration; virtualization; workload consolidation; Algorithm design and analysis; Heuristic algorithms; Optimization; Power demand; Resource management; Servers; Virtual machining; VM placement; energy management; live migration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on
Conference_Location :
Chennai
Type :
conf
DOI :
10.1109/ICGCE.2013.6823533
Filename :
6823533
Link To Document :
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