Abstracts

Comparative analysis of load balancing algorithms in cloud computing

by Mohit Tomar




Institution: California State University, Long Beach
Department:
Year: 2017
Keywords: Information technology; Electrical engineering; Computer science
Posted: 02/01/2018
Record ID: 2155272
Full text PDF: http://pqdtopen.proquest.com/#viewpdf?dispub=10262288


Abstract

Cloud computing is a novel trend emerging in Information Technology (IT) environments with immense infrastructure and resources. An integral aspect of cloud computing is load balancing. Efficient load balancing in cloud computing ensures effective resource utilization. There are two types of load balancers: the static load balancer and the dynamic load balancer. While both types of load balancers are widely used in the industry, they differ in performance. In this project, the performances of the most widely used static and dynamic load balancers, namely the round robin and the throttled, are compared. Specifically, the project examines whether the throttled algorithm takes less time than the round robin algorithm to access data in cloud computing. The results show that the throttled algorithm takes less time than the round robin algorithm to access data, and that this difference is due to a faultiness in the implementation of the round robin algorithm.