Research Article
A Comparative Study on Load Balancing Algorithms in Software Defined Networking
@INPROCEEDINGS{10.1007/978-3-030-20615-4_11, author={Neha Joshi and Deepak Gupta}, title={A Comparative Study on Load Balancing Algorithms in Software Defined Networking}, proceedings={Ubiquitous Communications and Network Computing. Second EAI International Conference, Bangalore, India, February 8--10, 2019, Proceedings}, proceedings_a={UBICNET}, year={2019}, month={5}, keywords={Software defined networking (SDN) SDN controller Mininet emulator tool Sniper tool Siege tool Open flow}, doi={10.1007/978-3-030-20615-4_11} }- Neha Joshi
Deepak Gupta
Year: 2019
A Comparative Study on Load Balancing Algorithms in Software Defined Networking
UBICNET
Springer
DOI: 10.1007/978-3-030-20615-4_11
Abstract
Advent of big data, cloud computing and IOTs resulted into significant increase in traffic on servers used in traditional networks as these networks are normally non-programmable, complex in management, highly expensive in nature, and have tightly coupled control plane with data plane. To overcome these traditional network-based issues a newly emerging technology software defined networking (SDN) has been introduced which decouples the data plane and control plane and makes the network fully programmable. SDN controllers are programmable so an efficient load balancing algorithms must ensure the effective management of resources as per client’s request. Based on these parameters i.e. throughput, transaction rate, & response time the qualitative comparison between the load balancing algorithms of SDN is done to generate the best results.
