DocumentCode
256508
Title
Energy efficient resource management for Cloud Computing Environment
Author
Selmy, H.A. ; Alkabani, Y. ; Mohamed, H.K.
Author_Institution
Dept. of Comput. & Syst. Eng., Ain Shams Univ., Cairo, Egypt
fYear
2014
fDate
22-23 Dec. 2014
Firstpage
415
Lastpage
420
Abstract
Cloud computing is a highly scalable and cost - effective infrastructure for running High Performance Computing, enterprise and Web applications. However, the growing demand of Cloud infrastructure has drastically increased the energy consumption of data centers, which has become a critical issue. Hence, energy efficient solutions are required to minimize this energy consumption. The energy efficient solutions aim at lowering the energy usage of data centers because computing applications and data are growing so quickly that increasingly larger servers and disks are needed to process them fast enough within the required time period so here we reduce the energy consumption by an average of 40% over previously introduced methods. So in datacenters, the number of physical machines can be reduced using virtualization by consolidating virtual machines onto shared servers and enabling them to migrate according to migration policy. This paper presents virtual machines migration and selection policies to boost Cloud Computing Environment energy efficiency and performance.
Keywords
cloud computing; computer centres; energy consumption; resource allocation; virtual machines; virtualisation; cloud computing environment; data center; energy consumption; energy efficient resource management; virtual machine migration; virtualization; Artificial neural networks; Clustering algorithms; Heuristic algorithms; History; Quality of service; Random access memory; Allocation; Cloud Computing; Cluster; Migration; Neural Network; Self Organized Map (SOM); Virtual machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering & Systems (ICCES), 2014 9th International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4799-6593-9
Type
conf
DOI
10.1109/ICCES.2014.7030997
Filename
7030997
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