Providing VNF Services with Pipe&Hose Model Based Nonblocking SDN Networks

Yangming Zhao, Jingyuan Fan, Huang Chen, C. Qiao
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Abstract

Combining Virtual Network Functions (VNF) and Software Defined Networking (SDN) enables fine-grained traffic steering to provide required network services to flows. However, online routing calculation and flow table enforcement incurs an non-negligible overhead. In this work, we propose to design a nonblocking network with fixed routing and VNF provisioning schemes to improve the network performance (e.g. the flow completion time). We first formulate this problem as a linear programming (LP) problem with infinite number of constraints, and leverage primal-dual technology to reformulate the problem as a polynomial size LP. The LP formulation is also extended to reconfigure the network when some components become unavailable, in order to keep the network nonblocking. Since solving the LP formulation is time consuming or even impossible in large scale networks, an efficient algorithm based on optimization decomposition and column generation is proposed to find a near optimal solution quickly. Simulation results show that nonblocking networks can speed up 60% of the flows by 2x, with a small increase in the required network capacity, compared with approaches that do not use the nonblocking networks.
基于管道和软管模型的非阻塞SDN网络提供VNF服务
VNF (Virtual Network Functions)和SDN (Software Defined Networking)的结合,可以实现细粒度的流量引导,为流提供所需的网络服务。然而,在线路由计算和流表强制执行会导致不可忽略的开销。在这项工作中,我们建议设计一个具有固定路由和VNF提供方案的非阻塞网络,以提高网络性能(例如流完成时间)。我们首先将该问题表述为具有无限数量约束的线性规划(LP)问题,并利用原始对偶技术将该问题重新表述为多项式大小的LP。LP公式还扩展到当某些组件不可用时重新配置网络,以保持网络的非阻塞。针对求解LP公式在大规模网络中耗时甚至不可能求解的问题,提出了一种基于优化分解和列生成的高效算法,以快速找到近最优解。仿真结果表明,与不使用非阻塞网络的方法相比,非阻塞网络可以使60%的流量加快2倍,所需的网络容量略有增加。
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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