基于SDN和NFV的多路径网络虚拟化方案的实现

Qingtian Wang, Junli Xue, Guochu Shou, Yaqiong Liu, Yihong Hu, Zhigang Guo
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引用次数: 4

摘要

除等价多路径(ECMP)算法外,在网络中广泛应用的多路径算法由于跨层多路径配置更为复杂,且多路径路由需要获取所有节点的信息而难以应用。为了解决这一困境,本文提出了一种基于软件定义网络(SDN)和网络功能虚拟化(NFV)的多路径网络虚拟化实现方案。在该方案中,SDN在全局视图下调度网络资源,选择多条路径和每条路径的计算权重,NFV提供计算和存储资源,用于分流流、添加标签、恢复流等。本文还提出了一种基于网络虚拟化的大象流多路径算法。此外,我们搭建了一个基于OPNFV和SDN的实验平台,并在该实验平台下进行实验。结果表明,该算法在多路径网络虚拟化实验平台上的性能优于非虚拟化环境下的ECMP算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of multipath network virtualization scheme with SDN and NFV
Multipath algorithms except Equal-Cost Multi-Path(ECMP) which has been widely used in networks are difficult to apply, because multipath provisioning is more complex at cross layers and multipath routing need to get all nodes' information. To address the dilemma, this paper proposes a multipath network virtualization implementation scheme with Software Defined Networking (SDN) and Network Function Virtualization (NFV). In this scheme, SDN schedules network resources in a global view for selecting multiple paths and computing weight of each path, and NFV provides computing and storage resources to split flow, add tag, recover flow, to name a few. This paper also proposes a multipath algorithm for elephant flow with network virtualization. Besides, we build an experimental platform based on OPNFV and SDN, and conduct experiments under this experimental platform. The results show that our proposed algorithm applied on multipath network virtualization experimental platform has superior performance than ECMP applied in networks without virtualization.
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