Load Balancing in Cloud Computing: A Survey on Popular Techniques and Comparative Analysis

Load Balancing in Cloud Computing: A Survey on Popular Techniques and Comparative Analysis

Rajgopal K T

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Dr. K R. Anil Kumar

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Nagesh Shenoy H

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Load Balancing in Cloud Computing: A Survey on Popular Techniques and Comparative Analysis

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Abstract

Cloud Computing is universally accepted as the most intensifying field in web technologies today. With the increasing popularity of the cloud, popular website’s servers are getting overloaded with high request load by users. One of the main challenges in cloud computing is Load Balancing on servers. Load balancing is the procedure of sharing the load between multiple processors in a distributed environment to minimize the turnaround time taken by the servers to cater service requests and make better utilization of the available resources. It greatly helps in scenarios where there is misbalance of workload on the servers as some machines may get heavily loaded while others remain under-loaded or idle. Load balancing methods make sure that every VM or server in the network holds workload equilibrium and load as per their capacity at any instance of time. Static and Dynamic load balancing are main techniques for balancing load on servers. This paper presents a brief discussion on different load balancing schemes and comparison between prime techniques.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Rajgopal K T. 2018. \u201cLoad Balancing in Cloud Computing: A Survey on Popular Techniques and Comparative Analysis\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 18 (GJCST Volume 18 Issue B1): .

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GJCST Volume 18 Issue B1
Pg. 35- 44

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-B Classification: H.3.m

Submission ReceivedDecember 11, 2017
Peer Review Double Blind
Handling Editor
Accepted December 31, 2017
Published January 15, 2018

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June 8, 2018

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Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - B: Cloud & Distributed

Authors: Rajgopal K T, Dr. K R. Anil Kumar, Nagesh Shenoy H (PhD/Dr. count: 1)

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Publish Date: 2018 06, Fri

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