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A New Enhanced Mechanism for Fault Tolerance using Resource Optimization

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Harpreet Kaur, Amritpal Kaur
10.5120/ijca2016909199

Harpreet Kaur and Amritpal Kaur. Article: A New Enhanced Mechanism for Fault Tolerance using Resource Optimization. International Journal of Computer Applications 139(14):13-17, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Harpreet Kaur and Amritpal Kaur},
	title = {Article: A New Enhanced Mechanism for Fault Tolerance using Resource Optimization},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {14},
	pages = {13-17},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

In these days there is a very little fraction of peoples who does not know about the cloud. Cloud offers various services to its users on demand. In Cloud Computing one of the major problem areas is Fault Tolerance. In cloud there is a term named virtualization that is very important and common. In virtualization that there is a dynamic number of virtual machines having different operating systems run on a single physical machine. In this paper a fault tolerance technique i.e. Enhanced Energy Aware Fault Tolerance Resource Optimization (EEAFTRO) technique is proposed. The purpose of this proposed technique is to optimize the resources efficiently so that the possibility of fault becomes less. If after effecient resource optimization or resource allocation fault occurs, then by using effective fault tolerance technique it can be handled. The proposed algorithm helps to minimize the execution time of tasks.

Index Terms

Cloud Computing, Fault Tolerance, Resource utilization, with fault, without fault.

References

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Keywords

SaaS, PaaS, IaaS, VM’s, Reactive, Proactive.