Dissertation/Thesis Abstract

Comparative analysis of load balancing algorithms in cloud computing
by Tomar, Mohit, M.S., California State University, Long Beach, 2017, 34; 10262288
Abstract (Summary)

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.

Indexing (document details)
Advisor: Yeh, Hen-Geul
Commitee: Chassiakos, Anastasios, Mozumdar, Mohammad
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 56/03M(E), Masters Abstracts International
Subjects: Information Technology, Electrical engineering, Computer science
Keywords: Cloud networking, Dynamic load balancing, Load balancing, Static load balancing
Publication Number: 10262288
ISBN: 9781369685381
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