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DOLPHIN: Dynamically Optimized and Load Balanced Path for Inter-Domain SDN Communication

机译:Dolphin:用于域间SDN通信的动态优化和负载平衡路径

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摘要

Software-Defined Networking has become an integral technology for large scale networks that require dynamic flow management. It separates the control function from data plane devices and centralizes it in a domain controller. However, only a limited number of switches can be managed by a single and centralized controller which introduces challenges such as scalability, reliability, and availability. Distributed controller architecture resolves these issues but also introduces new challenges of uneven load and traffic management across domains. As real-world networks have redundant links, hence a significant challenge is to distribute traffic flows on multiple paths, within a domain, and across multiple independent domains. The selection of ingress and egress switches becomes even more problematic if the intermediate domain is non-cooperative. In this work, we propose a Dynamically Optimized and Load-balanced Path for Inter-domain (DOLPHIN) communication system, a customized solution for different SDN controllers. It provides control beyond the virtual switch elements in intra and inter-domain communication and extends the range of programmability to wireless devices, such as the Internet of Things or vehicular networks. Extensive simulation results show that the traffic load is distributed evenly on multiple links connecting different domains. We model data center communication and 5G vehicular network communication to show that, by load balancing the flow completion times of the different types of network traffic can be significantly improved.
机译:软件定义的网络已成为需要动态流量管理的大型网络的整体技术。它将控制功能从数据平面设备分开并将其集中在域控制器中。但是,只有有限数量的开关可以由单个和集中式控制器管理,这引入了可伸缩性,可靠性和可用性等挑战。分布式控制器体系结构解决了这些问题,但也引入了跨域的不均衡负载和流量管理的新挑战。随着现实网络的网络具有冗余链接,因此重大挑战是在域内和多个独立域内分发多个路径上的流量流。如果中间域是非合作的,则入口和出口交换机的选择变得更加有问题。在这项工作中,我们提出了一种用于域间(海豚)通信系统的动态优化和负载 - 平衡路径,用于不同SDN控制器的定制解决方案。它提供超出虚拟交换机元件的控制和域间通信,并将可编程性范围扩展到无线设备,例如物联网或车辆网络。广泛的仿真结果表明,交通负荷在连接不同域的多个链路上均匀分布。我们模型数据中心通信和5G车辆网络通信表明,通过负载平衡,可以显着提高不同类型的网络流量的流程完成时间。

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