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Software Defined Network: Load Balancing Algorithm Design and Analysis
Software Defined Network (SDN) cut down the monopolies of producing network devices and their applications. It
allows the use of an omniscient controller that manages the overall network and promises for simplifying the configuration
and management burden of the traditional Internet Protocol (IP) network. The use of hardware load balancer is a critical
issue in conventional IP networks that creates many negative impacts such as the cost affordability, features customization,
and availability. Also, the existing load balancing algorithm does not consider the flow size generated by the client nodes.
Further, flows are not classified based on the threshold value of the dynamic flow size. The paper proposes to compare the
performance of two load balancing algorithms such as flow-based load balancing algorithm and traffic pattern-based load
balancing algorithm with distributed controllers' architecture. The result shows that the flow-based load balancing algorithm
minimizes response time by 94%, enhances transaction rate by 14% and Traffic pattern-based load balancing algorithm has
improved availability by 2.69%.
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[30] Zhong H., Fang Y., and Cui J., “LBBSRT: an Efficient SDN Load Balancing Scheme Based on Server Response Time,” Future Generation Computer Systems, vol. 68, pp. 183-190, 2017. 318 The International Arab Journal of Information Technology, Vol. 18, No. 3, May 2021 Senthil Prabakaran was born at Dindigul, India, in 1987. He graduated in Electronics and Communication Engineering from Anna University affiliated college and post graduated in Network Engineering from Kalasalingam Academy of Research and Education, Krishnankoil, India. He is pursuing his PhD in Electronics and Communication Engineering (Software Defined Networking) from Kalasalingam Academy of Research and Education. His research interest includes Computer Networks, Software Defined Networks, Cloud Computing, Network Function Virtualization and Network Security. Ramalakshmi Ramar received her Doctoral degree and Master of Engineering degree in Computer Science and Engineering. She has been working in the department of Computer Science and Engineering at Kalasalingam Academy of Research and Education (Previously known as Arulmigu Kalasalingam College of Engineering) since 2001. She has more than 20 years of teaching experience. She is a member of CSI, ISTE and Network Technology group of TIFAC- CORE in Network Engineering. She has published more than 25 research articles in reputed Journals and International Conferences. She has received Young Scientist Fellowship from Tamilnadu State Council for Science and Technology and Award of Excellence from SAP India Pvt. Limited. Her areas of research include Software Defined Networking, Cognitive Science, Internet of Things, Big Data Analytics and Social Network Analysis.