DocumentCode :
256509
Title :
Green cloud computing: Datacenters power management policies and algorithms
Author :
Hussein, S.R. ; 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 :
421
Lastpage :
426
Abstract :
Cloud computing is offering utility oriented IT services to users worldwide. Based on a pay per use model, it provides a variety of computing resources, enterprise applications while enabling their hosting from consumer, scientific and business domains through a three layered architecture and different cloud types. The proliferation of cloud computing has resulted in the establishment of large-scale data centers around the world containing thousands of computing nodes which consume huge amounts of energy, contributing to high operational costs and carbon footprints to the environment. Energy consumption is not only determined by hardware efficiency, but it also depends on the resource management system deployed on the infrastructure and the efficiency of applications running in the system. The challenge is addressed in finding cloud computing solutions that not only save energy for the environment but also reduce operational costs. Our Fuzzy based contribution improves power efficiency with around 40 % than other policies.
Keywords :
cloud computing; computer centres; green computing; power aware computing; resource allocation; virtual machines; business domain; carbon footprints; cloud computing proliferation; cloud types; computing nodes; computing resources; consumer domain; data center power management algorithms; data center power management policies; energy consumption; energy saving; enterprise applications; green cloud computing; hardware efficiency; large-scale data centers; operational cost reduction; operational costs; pay-per-use model; power efficiency improvement; resource management system; scientific domain; three-layered architecture; utility oriented IT services; virtual machines; Adaptation models; Bandwidth; Computational modeling; Energy consumption; Genetics; Random access memory; Allocation; Cloudsim; Fuzzy logic; Green cloud; Migration; Placement; Selection; Virtual machines;
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.2014.7030998
Filename :
7030998
Link To Document :
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