Comparative Analysis of Load Balancing Algorithms for Cloud Computing in IoT

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

Journal Name: International Journal of Sensors, Wireless Communications and Control

Volume 10 , Issue 4 , 2020


Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


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.

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 10
ISSUE: 4
Year: 2020
Published on: 18 December, 2020
Page: [551 - 558]
Pages: 8
DOI: 10.2174/2210327909666191127094149
Price: $25

Article Metrics

PDF: 5