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An Efficient Approach for Load balancing in Software-Defined Networks
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Publication Year
2021-01-01
Journal
Proceedings of the 2021 6th International Conference on Computing, Communication and Security, ICCCS 2021
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings of the 2021 6th International Conference on Computing, Communication and Security, ICCCS 2021
Keyword
analytical network processload balancingsoftware defined networking
Mesh Keyword
Analytical network processCentralized controlControl planesData planesData-planeLoad-BalancingNetwork processProgrammabilitySoftware-defined networkingsSoftware-defined networks
All Science Classification Codes (ASJC)
Artificial IntelligenceComputer Networks and CommunicationsComputer Science ApplicationsInformation SystemsInformation Systems and ManagementSafety, Risk, Reliability and QualityCommunication
Abstract
Software-Defined Networking (SDN) premise sepa-rates the data plane from the control plane. The centralized control plane brings innovation, programmability, and flexibility for managing the underlying networks. In this paper, we propose a hierarchical control plane-based SDN scheme to achieve load balancing in SDN. The hierarchical architecture is composed of a load balancing control plane and a distributed control plane based SDN architecture. To achieve load balancing, we add an analytical network process (ANP)-based module to rank the controllers according to their load status, for which ANP is applied as an enabling module to forward the flows according to the load distribution of the controllers. The ANP module ranks the controllers according to their weights. Hence, it does not send the request to the overloaded controllers in the network. Our proposed scheme surpasses the analytic hierarchy process (AHP), and Default SDN based load balancing schemes. We have demonstrated the results in three Internet topologies i.e. Abilene, Chinanet, and OS3E regrading delay, and Jain's fairness index in Mininet emulator.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36730
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85131865419&origin=inward
DOI
https://doi.org/2-s2.0-85131865419
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9775999
Type
Conference
Funding
This work was supported partially by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2021-2018-0-01431) supervised by the IITP (Institute for Information and Communications Technology Planning Evaluation), and by the BK21 FOUR program of the National Research Foundation of Korea funded by the Ministry of Education (NRF5199991514504)ACKNOWLEDGMENT This work was supported partially by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2021-2018-0-01431) supervised by the IITP (Institute for Information & Communications Technology Planning Evaluation), and by the BK21 FOUR program of the National Research Foundation of Korea funded by the Ministry of Education (NRF5199991514504).
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ALI JEHADJEHAD, ALI
Department of Software and Computer Engineering
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