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International Journal of Sensors, Wireless Communications and Control

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ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

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Research Article

Comparative Analysis of Load Balancing Algorithms for Cloud Computing in IoT

Author(s): Mohammad Irfan Bala* and Mohammad Ahsan Chishti

Volume 10, Issue 4, 2020

Page: [551 - 558] Pages: 8

DOI: 10.2174/2210327909666191127094149

Price: $65

Abstract

Background: Cloud computing is a widely adopted computing paradigm and its importance has increased multi-folds in the recent past due to the inception of Internet of Things (IoT).

Objectives: Efficient load balancing techniques are required to optimize the use of the cloud resources although load balancing in cloud is known to be a NP-hard problem.

Methods: This work focuses on multiple load balancing algorithms whose performance has been analysed and compared under varying load conditions.

Results: Comparative analysis of 5 algorithms is given, among which max-min algorithm is found to be the best performing algorithm with approximately 28% better job finish time and 23% higher throughput than the worst performing algorithm (FCFS).

Conclusion: Simulations have been performed in CloudSim under varying input loads and the performance has been analysed under multiple scenarios. All the simulations have pointed towards the superiority of Max-min algorithm over other algorithms. This work will prompt the researchers to further investigate into load balancing algorithms so that better results are achieved.

Keywords: Cloud computing, cloudsim, internet of things, load balancing, optimization, scheduling, virtual machine.

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