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Dissertation/Thesis Abstract

A novel agent-based dynamic load balancing model for cloud networks
by Chatterji, Siddharth, M.S., California State University, Long Beach, 2016, 48; 10141527
Abstract (Summary)

The current project discusses and implements the concept of load balancers, which are the lifeblood of any cloud computing network. In this report, a new load balancing system is presented, which has been developed to reduce the traffic in the Cloud, whilst assuring a smooth flow of data in the cloud network. The proposed algorithm takes advantage of the dynamic load balancing characteristics over static balancing, and avoids the damage that a static load balancer causes if it fails.

Simulation results show that the proposed algorithm operates efficiently and effectively, and it provides a significantly improved performance over existing algorithms. Comparisons with the central load balancing algorithm show that the new system provides a reduction in average wait time, a significant increase in throughput, and a dramatic reduction in CPU time consumption.

Indexing (document details)
Advisor: Chassiakos, Anastasios
Commitee: Ary, James, Tran, Boi
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/06M(E), Masters Abstracts International
Subjects: Information Technology, Electrical engineering, Computer science
Keywords: Cloud networks, Dynamic load balancing, Load balancing, Software load balancing
Publication Number: 10141527
ISBN: 978-1-339-96887-2
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