DocumentCode :
3677859
Title :
Prediction Based Energy Efficient Virtual Machine Consolidation in Cloud Computing
Author :
Naveen Kumar Gondhi;Paras Kailu
Author_Institution :
Sch. of Comput. Sci. &
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
437
Lastpage :
441
Abstract :
Cloud computing enables the web hosting of computing resources, applications to be available for consumers on a pay-per-use basis making it quite popular and need of today´s world. With this, the demand for computational power has increased manifolds which led to the creation of large-scale cloud data centres. These data centres have large electrical power consumption and thus the cost of operation and maintenance, has become a major issue in cloud computing. Therefore we need to find out solutions to minimize this power consumption and thus operating cost. In this paper, prediction based faster energy efficient virtual machine (VM) consolidation scheme is proposed which results in faster VM consolidation to improve Quality of Service (QoS) and performance while reducing energy consumption.
Keywords :
"Heuristic algorithms","Algorithm design and analysis","Prediction algorithms","Cloud computing","Energy efficiency","Resource management","Virtual machining"
Publisher :
ieee
Conference_Titel :
Advances in Computing and Communication Engineering (ICACCE), 2015 Second International Conference on
Print_ISBN :
978-1-4799-1733-4
Type :
conf
DOI :
10.1109/ICACCE.2015.148
Filename :
7306726
Link To Document :
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