Review paper on Various Dynamic Load Balancing Algorithms in Cloud computing environment

Authors(1) :-Smaranika Parida

Cloud computing is an emerging approach enabling ever-present network access, computing resources, deploying, organizing, and accessing enormous distributed computing applications over the network. In cloud computing, Load balancing is one of the main challenges which are required to distribute the workload equally across all the nodes. Load balancing uses services offered by many computer network service provider corporations. Load balancing can be different types like network load, storage capacity, and memory capacity and CPU load. Load balancing helps to achieve a high user satisfaction and resource utilization ratio by confirming an efficient and fair allocation of every computing resource. Proper load balancing support in implementing failover, enabling scalability, over-provisioning, and decreases costs associated with document management systems and maximizes the availability of resources. This paper describes a survey of different dynamic load balancing algorithms in the cloud environment with their comparisons on the bases of different load balancing metrics.

Authors and Affiliations

Smaranika Parida
Department of Information Technology, L.D. College of Engineering, Ahemedabad, Gujurat

Cloud Computing, Load balancing, static load balancing, dynamic load balancing algorithm, load balancing metrics

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Publication Details

Published in : Volume 3 | Issue 6 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 604-610
Manuscript Number : IJSRSET1736160
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Smaranika Parida, " Review paper on Various Dynamic Load Balancing Algorithms in Cloud computing environment, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.604-610, September-October-2017.
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