Improved Efficient Dynamic Resource Optimization for Cloud Computing

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2014 by IJPTT Journal
	Volume - 4 Issue - 4
	Year of Publication : 2014
	Authors : N.Chandrakala , Dr. P.Sivaprakasam

Citation

N.Chandrakala , Dr. P.Sivaprakasam."Improved Efficient Dynamic Resource Optimization for Cloud Computing". International Journal of P2P Network Trends and Technology (IJPTT), V4(4):1-5 Jul -Aug 2014, ISSN:2249-2615, www.ijpttjournal.org, Published by Seventh Sense Research Group.

Abstract

Computing resources are delivered as virtual machines in cloud computing. Such a scenario, scheduling algorithms play an important role where the aim is to schedule the tasks effectively so as to reduce the response and execution time and improve resource utilization. This was achieved in many scheduling algorithm such as EDFRLS and EDRAP algorithms. But still to improve the more Cloud performance an IEDRO algorithm is used. The proposed IEDRO algorithm gives more resource optimization and improve the speed of cloud at the time of data loading and data accessing. The experimental results show that proposed algorithms exhibit better performance under heavy loads.

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Keywords
Cloud computing, Scheduling, Resource optimization, Virtual machine.