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QOS Differentiation of Various Cloud Computing Load Balancing Techniques

Abhinav Hans, Navdeep Singh, Kapil Kumar, Mohit Birdi Published in Distributed Systems

Communications on Applied Electronics
Year of Publication: 2015
© 2015 by CAE Journal
10.5120/cae-1544

Abhinav Hans, Navdeep Singh, Kapil Kumar and Mohit Birdi. Article: QOS Differentiation of Various Cloud Computing Load Balancing Techniques. Communications on Applied Electronics 1(5):14-18, April 2015. Published by Foundation of Computer Science, New York, USA. BibTeX

@article{key:article,
	author = {Abhinav Hans and Navdeep Singh and Kapil Kumar and Mohit Birdi},
	title = {Article: QOS Differentiation of Various Cloud Computing Load Balancing Techniques},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {1},
	number = {5},
	pages = {14-18},
	month = {April},
	note = {Published by Foundation of Computer Science, New York, USA}
}

Abstract

With an increase in the demands the Cloud computing has become one of the ongoing scalable approach to fulfill the cloud based neccesties. The biggest advantage of the cloud computing is the ability to overcome the infrastructural challenges those are earlier faced by other technologies. Since the technology is new, therefore the development of the whole structure is not so efficient. It does have a lot of issues on which various scientists and others are working on. Scheduling, load balancing, fault tolerance, etc. are various challenges faced by cloud computing. For this purpose various techniques and algorithms have been proposed. In this paper discussion will be done on the issue of load balancing in cloud computing and different types of load balancing techniques have been reviewed and a comparative analysis have been made among all the existing techniques.

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Keywords

Genetic algorithm, Stochastic Hill Climbing, Token Routing, Ant colony optimization algorithm, Central queuing, Generalized Priority Algorithm,SJF, Honey Bee Foraging, Connection mechanism.