Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/18767
Title: Implementing Nayan Seth’s Dynamic Load Balancing Algorithm in Software-Defined Networks
Other Titles: تنفيد خوارزمية نايان سيث لموازنة الحمل الديناميكية في الشبكات المعرفة
Authors: Hassan, Monzir Hassan Osman
Supervisor, - Ahmed Abdullah
Keywords: Network Engineering
Algorithm in Software
Defined Networks
Implementing Nayan Seth’s
Dynamic Load Balancing
Issue Date: 10-Apr-2017
Publisher: Sudan University of Science and Technology
Citation: Hassan, Monzir Hassan Osman . Implementing Nayan Seth’s Dynamic Load Balancing Algorithm in Software-Defined Networks / Monzir Hassan Osman Hassan ; Ahmed Abdullah .- Khartoum: Sudan University of Science and Technology, college of Engineering, 2017 .- 66p. : ill. ;28cm .- M.Sc.
Abstract: Traditional networking architectures have many significant limitations that must be overcome to meet modern IT requirements. To overcome these limitations; Software Defined Networking (SDN) is taking place as the new networking approach. One of the major issues of traditional networks is that they use static switches that cause poor utilization of the network resources. Another issue is the packet loss and delay in case of switch breakdown. This research proposes an implementation of a dynamic load balancing algorithm for SDN based data center network to overcome these issues. A test-bed has been implemented using Mininet software to emulate the network, and OpenDaylight platform (ODL) as SDN controller. Python programming language is used to define a fat-tree network topology and to write the load balancing algorithm program. Finally, iPerf is used to test network performance. The network was tested before and after running the load balancing algorithm. The testing focused on some of Quality of Service (QoS) parameters such as throughput, bandwidth, delay, jitter, and packet loss between two servers in the fat-tree network. The algorithm increased throughput with at least 32.3%, and improved network utilization. However, in large networks it increased mean jitter from 0.3736 ms to 3.2891 ms, and it increased packet loss by 4.9%.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/18767
Appears in Collections:Masters Dissertations : Engineering

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