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A Comparative Study on Load Balancing Algorithms in Software Defined Networking - 2019

A Comparative Study on Load Balancing Algorithms in Software Defined Networking

Survey paper on Load Balancing Algorithms in Software Defined Networking

Research Area:  Software Defined Networks

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.

Keywords:  
Software defined networking (SDN)
SDN controller
Mininet emulator tool
Sniper tool
Siege tool
Open flow

Author(s) Name:   Neha Joshi & Deepak Gupta

Journal name:  

Conferrence name:  International Conference on Ubiquitous Communications and Network Computing

Publisher name:  Springer

DOI:  10.1007/978-3-030-20615-4_11

Volume Information: