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Termite inspired algorithm for traffic engineering in hybrid software defined networks
PeerJ Computer Science ( IF 3.8 ) Pub Date : 2020-08-17 , DOI: 10.7717/peerj-cs.283
R Ananthalakshmi Ammal 1 , Sajimon PC 1 , Vinodchandra SS 2
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In the era of Internet of Things and 5G networks, handling real time network traffic with the required Quality of Services and optimal utilization of network resources is a challenging task. Traffic Engineering provides mechanisms to guide network traffic to improve utilization of network resources and meet requirements of the network Quality of Service (QoS). Traditional networks use IP based and Multi-Protocol Label Switching (MPLS) based Traffic Engineering mechanisms. Software Defined Networking (SDN) have characteristics useful for solving traffic scheduling and management. Currently the traditional networks are not going to be replaced fully by SDN enabled resources and hence traffic engineering solutions for Hybrid IP/SDN setups have to be explored. In this paper we propose a new Termite Inspired Optimization algorithm for dynamic path allocation and better utilization of network links using hybrid SDN setup. The proposed bioinspired algorithm based on Termite behaviour implemented in the SDN Controller supports elastic bandwidth demands from applications, by avoiding congestion, handling traffic priority and link availability. Testing in both simulated and physical test bed demonstrate the performance of the algorithm with the support of SDN. In cases of link failures, the algorithm in the SDN Controller performs failure recovery gracefully. The algorithm also performs very well in congestion avoidance. The SDN based algorithm can be implemented in the existing traditional WAN as a hybrid setup and is a less complex, better alternative to the traditional MPLS Traffic Engineering setup.

中文翻译:

混合软件定义网络中用于流量工程的白蚁启发算法

在物联网和5G网络时代,以所需的服务质量和网络资源的最佳利用来处理实时网络流量是一项艰巨的任务。流量工程提供了一些机制来指导网络流量,以提高网络资源的利用率并满足网络服务质量(QoS)的要求。传统网络使用基于IP和基于多协议标签交换(MPLS)的流量工程机制。软件定义网络(SDN)具有可用于解决流量调度和管理的特性。当前,传统网络不会被支持SDN的资源完全取代,因此必须探索用于混合IP / SDN设置的流量工程解决方案。在本文中,我们提出了一种新的“白蚁启发式优化”算法,用于使用混合SDN设置进行动态路径分配和更好地利用网络链接。在SDN控制器中实现的基于白蚁行为的生物启发算法可避免拥塞,处理流量优先级和链路可用性,从而支持应用程序的弹性带宽需求。在SDN的支持下,在模拟和物理测试台上的测试都证明了该算法的性能。如果发生链路故障,则SDN Controller中的算法会优雅地执行故障恢复。该算法在避免拥塞方面也表现出色。基于SDN的算法可以在现有的传统WAN中作为混合设置实现,并且是传统MPLS流量工程设置的一种更简单,更好的替代方案。
更新日期:2020-08-20
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