An Effective Routing Mechanism Based on Fuzzy Logic for Software-Defined Data Center Networks

Yang Xu, W. Muqing, Yao Guohao
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Abstract

In order to solve the problem of low throughput and poor performance in data center network, this paper proposes a traffic scheduling algorithm exploiting fuzzy logic inference based on Software Defined Networking (SDN). The algorithm uses the characteristics of separation of control and forwarding in SDN architecture to choose paths for data flows by the centralized control of controller. It calculates the candidate path set of accessible paths between the source host and the destination host, then comprehensively considers path hops and bandwidth utilization, evaluates the candidate path using fuzzy logic model, and selects the optimal path. The experimental results show that compared with ECMP, Hedera and FSEM, the proposed algorithm improves the network throughput and load balancing, thus improving the overall network performance of the data center.
软件定义数据中心网络中一种基于模糊逻辑的有效路由机制
为了解决数据中心网络吞吐量低、性能差的问题,提出了一种基于软件定义网络(SDN)的基于模糊逻辑推理的流量调度算法。该算法利用SDN架构中控制与转发分离的特点,通过控制器的集中控制为数据流选择路径。计算源主机和目的主机之间可达路径的候选路径集,综合考虑路径跳数和带宽利用率,利用模糊逻辑模型对候选路径进行评估,选择最优路径。实验结果表明,与ECMP、Hedera和FSEM相比,本文算法提高了网络吞吐量和负载均衡,从而提高了数据中心的整体网络性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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