SD-ALB: software defined adaptive load balancing in data center network

Rizwan Fazal; Syed Mushhad M. Gilani; Muhammad Junaid Khalid

doi:10.51153/kjcis.v6i2.181

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SD-ALB: software defined adaptive load balancing in data center network

Author(s)

Rizwan Fazal UIIT, PMAS Arid Agriculture University,Rawalpindi, Pakistan

Syed Mushhad M. Gilani Department of Computer Science, University of Agriculture Faisalabad: Pakistan

Muhammad Junaid Khalid UIIT, PMAS Arid Agriculture University,Rawalpindi, Pakistan

Abstract

Network monitoring has crucial importance in data center networks to analyze the behavior of the underlying network. This analysis is used for working on multiple network parameters and load balancing is one of them. This article proposes an adaptive load-balancing approach to balance the load between the servers while changing its behavior with a change in traffic. Software Defined Networking (SDN) provides the single point of network configuration called SDN controller. This approach is facilitating the easy implementation of adaptive load balancing in Data Center Networks. The proposed approach is an extension to the LBBCLT load balancing approach that uses a dynamic probe generator to probe the servers about the response time and link bandwidth. We incorporate a path selection module in it and the path is selected using the Ant Colony Optimization. The results show that the bandwidth consumption and throughput have been improved and servers are receiving the load according to their capacities.

Publication Details

Page(s) 51-66

DOI 10.51153/kjcis.v6i2.181

Published Journal: KIET Journal of Computing & Information Sciences, Volume: 6, Issue: 2, Year: 2023

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Keywords

bandwidth, Response Time, Data Center Networks, Ant Colony Optimization, Path Selection, Adaptive load balancing, Software Defined Networking

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