DocumentCode :
3579415
Title :
Release-time aware VM placement
Author :
Dabbagh, Mehiar ; Hamdaoui, Bechir ; Guizani, Mohsen ; Rayes, Ammar
Author_Institution :
Oregon State Univ., Corvallis, OR, USA
fYear :
2014
Firstpage :
122
Lastpage :
126
Abstract :
Consolidating virtual machines (VMs) on as few physical machines (PMs) as possible so as to turn into sleep as many PMs as possible can make significant energy savings in cloud centers. Although traditional online bin packing heuristics, such as Best Fit (BF), have been used to reduce the number of active PMs, they share one common limitation; they do not account for VM release times, which can lead to an inefficient usage of energy resources. In this paper, we propose several extensions to the original BF heuristic by accounting for VMs´ release times when making VM placement decisions. Our comparative studies conducted on Google traces show that, when compared to existing heuristics, the proposed heuristic reduces energy consumption and enhances utilization of cloud servers.
Keywords :
cloud computing; power aware computing; resource allocation; virtual machines; Best Fit; Google traces; PM; VM placement decisions; VM release times; cloud centers; cloud servers; energy consumption; energy savings; online bin packing heuristics; physical machines; release-time aware VM placement; virtual machines; Cloud computing; Conferences; Energy efficiency; Google; Measurement; Switches; Virtual machining; Google traces; Resource allocation; VM Placement; cloud computing; energy efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Globecom Workshops (GC Wkshps), 2014
Type :
conf
DOI :
10.1109/GLOCOMW.2014.7063417
Filename :
7063417
Link To Document :
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