Improve Resource Allocation for Cloud Computing Environment

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2016 by IJPTT Journal
	Volume - 6 Issue - 2
	Year of Publication : 2016
	Authors : R.Navinkumar, R.Ramamoorthy
	DOI :  10.14445/22492615/IJPTT-V24P402

Citation

R.Navinkumar, R.Ramamoorthy "Improve Resource Allocation for Cloud Computing Environment". International Journal of P2P Network Trends and Technology (IJPTT), V6(2):12-19 Mar - Apr 2016, ISSN:2249-2615, www.ijpttjournal.org, Published by Seventh Sense Research Group.

Abstract

The elasticity and the lack of upfront capital investment offered by cloud computing is appealing to many businesses. There is a lot of discussion on the benefits and costs of the cloud model and on how to move legacy applications onto the cloud platform. Here we study a different problem: how can a cloud service provider best multiplex its virtual resources onto the physical hardware? This is important because much of the touted gains in the cloud model come from such multiplexing. Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. This project presents a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. The project introduces the concept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. It develops a set of heuristics that prevent overload in the system effectively while saving energy used.

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Keywords
It develops a set of heuristics that prevent overload in the system effectively while saving energy used.