Sdn load balancing scheme based on double population fruit fly optimization algorithm

Fengchao Xue; Chanying Huang

doi:10.1117/12.3035295

19 July 2024 Sdn load balancing scheme based on double population fruit fly optimization algorithm

Fengchao Xue, Chanying Huang

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 1321315 (2024) https://doi.org/10.1117/12.3035295
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

Software-Defined Network (SDN) represents a novel architectural paradigm that effectively separates network control from data forwarding. Due to its global view and programmability advantages, SDN is increasingly being deployed in data centers. However, conventional traffic scheduling methods in data center networks are unable to fulfill current service requirements and fail to effectively utilize the redundant bandwidth within data center network topology, thereby causing network congestion and link load imbalance. To address these challenges, this paper proposes a Bipopulation Fruit Fly Optimized Scheduling Algorithm (BIFOSA). BIFOSA aggregates elephant streams from the same source and employs a modified two-population fruit fly optimization algorithm, thereby ensuring uniform scheduling. Empirical evaluations show that BIFOSA significantly reduces maximum link utilization and improves network load balancing compared to ECMP and Hedera algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fengchao Xue and Chanying Huang "Sdn load balancing scheme based on double population fruit fly optimization algorithm", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 1321315 (19 July 2024); https://doi.org/10.1117/12.3035295

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