Dynamic Resource Allocation for Green Clouds

M.S.Mumtaj Zareena*, M.Mahil**, N.Rupavathy***
* P.G. Scholar, Department of Computer Science and Engineering, Govt College of Engineering, Tirunelveli, India.
** Assistant Professor, Department of Computer Science and Engineering, Govt.College of Engineering, Tirunelveli, India.
*** P.G. Scholar, Department of Computer Science and Engineering, Govt.College of Engineering, Tirunelveli, India.
Periodicity:May - July'2014
DOI : https://doi.org/10.26634/jcc.1.3.3155

Abstract

Cloud computing is an on demand service as it offers dynamic, flexible and efficient resource allocation for reliable and guaranteed services in ‘pay-as-you-use’ manner to the customers. Such a process of allocation and de-allocation of resources is the key to accommodate unpredictable demands. However, despite the recent growth of the Cloud Computing market, several problems with the process of resource allocation remain unaddressed. A system that uses virtualization technology and skewness algorithm to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use had been presented. The result reveals the achievement of both overload avoidance and green computing for systems with multi resource constraints.

Keywords

Load Prediction, Virtualization, Resource Allocation, Green Computing.

How to Cite this Article?

Zareena, M. S. M., Mahil, M., and Rupavathy, N. (2014). Dynamic Resource Allocation for Green Clouds. i-manager’s Journal on Cloud Computing, 1(3), 8-15. https://doi.org/10.26634/jcc.1.3.3155

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