Abstract: In the field of information technology cloud computing is a recently developed technology. In such a complicated system, an effective load balancing scheme is critical in order to meet peak user demands and deliver high-quality services. Load balancing is a way of distributing workload among several nodes over network links in order to maximize resource utilization, decrease data processing and response time, and avoid overload. There have been a number of load balancing algorithms suggested that concentrate on important factors including processing time, response time, and processing costs. These techniques, however, ignore cloud computing scenarios. At the same time, there is a few research works that focuses on the subject of load balancing in cloud computing. Motivated by this issue, this study addresses the load balancing challenge in cloud computing by comparing natural inspired Load Balancing Algorithms based on the resource utilization metric. The chosen load balancing methods will next be tested and assessed using the CloudSim simulator to choose the proper natural inspired Load balancing algorithms that solves the problem of load balancing in cloud computing, according to the result of the simulation it can be concluded that the LBA_HB is better than the HBB_LB based on the results for the response time, MakeSpan, and the degree of imbalance.
Keywords: Load Balancing, Cloud Computing, Algorithms, CloudSim, HBB-LB, LBA_HB.
Title: Comparative Analysis of Load Balancing Algorithms for Efficient Task Scheduling in Cloud Computing
Author: Sawsan Rabaya, Yazeed Al Moayed
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 11, Issue 3, July 2023 - September 2023
Page No: 160-171
Research Publish Journals
Website: www.researchpublish.com
Published Date: 18-September-2023
