Review of SDN-based load-balancing methods, issues, challenges, and roadmap

Authors

  • Mohit Chandra Saxena Research Scholar, School of Computer Science and Engineering, Galgotias University, Greater Noida, India https://orcid.org/0000-0003-4859-260X
  • Munish Sabharwal Dean, School of Computer Science and Engineering, Galgotias University, Greater Noida, India
  • Preeti Bajaj Vice Chancellor, Lovely Professional University, Phagwara, Punjab, India

DOI:

https://doi.org/10.32985/ijeces.14.9.8

Keywords:

Software-defined network, Load balancing, Data Plane, Control plane, Networking, IP, NFV

Abstract

The development of the Internet and smart end systems, such as smartphones and portable laptops, along with the emergence of cloud computing, social networks, and the Internet of Things, has brought about new network requirements. To meet these requirements, a new architecture called software-defined network (SDN) has been introduced. However, traffic distribution in SDN has raised challenges, especially in terms of uneven load distribution impacting network performance. To address this issue, several SDN load balancing (LB) techniques have been developed to improve efficiency. This article provides an overview of SDN and its effect on load balancing, highlighting key elements and discussing various load-balancing schemes based on existing solutions and research challenges. Additionally, the article outlines performance metrics used to evaluate these algorithms and suggests possible future research directions.

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Published

2023-11-06

How to Cite

[1]
M. C. Saxena, M. Sabharwal, and P. Bajaj, “Review of SDN-based load-balancing methods, issues, challenges, and roadmap”, IJECES, vol. 14, no. 9, pp. 1031-1049, Nov. 2023.

Issue

Section

Review Papers