A Detailed Analysis of Modern Load Balancing Methods in Software Defined Networks

DOI

10.2991/978-94-6463-716-8_72How to use a DOI?

Keywords

Software Defined Network; Dynamic Load Balancing Problem; OpenFlow; Network Function Virtualization; Quality of Services First Section

Abstract

In these days of smart technology, the use of internet-connected devices has increased dramatically. This has led to a sharp rise in online activity. The necessity to manage a single server with several clients, which might lead to denial of service (DoS) assaults, restricted service availability, and issues with network scalability are only a few of the negative effects of the growing traffic. A solution that has been proposed in the literature to handle these issues is to utilize a load balancer in combination with many servers. Research indicates that load balancers do have a few disadvantages despite being widely used. Among these include the fact that they are exclusive to one manufacturer and cannot be programmed. SDN software-defined networking emerged as a paradigm shift to address these issues and the resulting spike in internet traffic. Software-defined networking (SDN) enables programmable load balancers by granting customers the autonomy to create and employ custom load balancing algorithms. This inquiry aims to investigate SDN and OpenFlow from the ground up, with a particular focus on how they impact load balancing. This paper compares several SDN load balancing approaches based on open research questions, suggested fixes, and potential future paths. Smart load balancing methods for SDN are often designed using mathematical models and simulators. Furthermore, we describe in detail the key performance metrics for these algorithms.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Prerita Kulkarni
AU  - Nitika Vats Doohan
AU  - Rajesh Nagar
PY  - 2025
DA  - 2025/05/26
TI  - A Detailed Analysis of Modern Load Balancing Methods in Software Defined Networks
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 972
EP  - 985
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_72
DO  - 10.2991/978-94-6463-716-8_72
ID  - Kulkarni2025
ER  -