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Cited 2 time in webofscience Cited 4 time in scopus
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Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking

Authors
Ahmad, S.Jamil, F.Ali, A.Khan, E.Ibrahim, M.Whangbo, T.K.
Issue Date
Jan-2022
Publisher
Tech Science Press
Keywords
Control plane; CPU utilization; Decision tree; Load balancing; SDN
Citation
CMC-COMPUTERS MATERIALS & CONTINUA, v.70, no.1, pp.1363 - 1379
Journal Title
CMC-COMPUTERS MATERIALS & CONTINUA
Volume
70
Number
1
Start Page
1363
End Page
1379
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82228
DOI
10.32604/cmc.2022.017715
ISSN
1546-2218
Abstract
The concept of Software-Defined Networking (SDN) evolves to overcome the drawbacks of the traditional networks with Internet Protocol (I.P.) packets sending and packets handling. The SDN structure is one of the critical advantages of efficiently separating the data plane from the control plane to manage the network configurations and network management. Whenever there are multiple sending devices inside the SDN network, the OpenFlow switches are programmed to handle the limited number of requests for their interface. When the recommendations are exceeded from the specific threshold, the load on the switches also increases. This research article introduces a new approach named LBoBS to handle load balancing by adding the load balancing server to the SDN network. Besides, it is used to maximize SDN's reliability and efficiency. It also works in coordination with the controller to effectively handle the load balancing policies. The load balancing server is implemented to manage the switches load effectively. Results are evaluated on the NS-3 simulator for packet delivery, bandwidth utilization, latency control, and packet decision ratios on the OpenFlow switches. It has been found that the proposed method improved SDN's load balancing by 70% compared to the previous state-of-the-art methods. © 2021 Tech Science Press. All rights reserved.
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Whangbo, Taeg Keun
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
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