Shortest Path Tour Problem Based Integer Linear Programming for Service Chaining in NFV Networks

Masahiro Sasabe, Takanori Hara
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引用次数: 3

Abstract

Network functions virtualization (NFV) is a new paradigm to achieve flexible and agile network services by decoupling network functions from proprietary hardware and running them on generic hardware as virtual network functions (VNFs). In the NFV network, a certain network service can be modeled as a sequence of VNFs, called a service chain. Given a connection request (origin node, destination node, and service chain requirement, which is a sequence of functions), the service chaining problem aims to find an appropriate service path, which starts from the origin and ends with the destination while executing the VNFs at the intermediate nodes in the required order. Some existing work noticed that the service chaining problem was similar to the shortest path tour problem (SPTP). To the best of our knowledge, this is the first work that exactly formulates the service chaining problem as an SPTP-based integer linear program (ILP). Through numerical results, we show the SPTP-based ILP can support 1.30-1.77 times larger scale systems than the existing ILP.
基于最短路径漫游问题的NFV网络业务链整数线性规划
网络功能虚拟化(Network functions virtualization, NFV)是一种实现灵活敏捷网络服务的新范式,它将网络功能与专有硬件解耦,并以虚拟网络功能(virtual Network functions, VNFs)的形式运行在通用硬件上。在NFV网络中,可以将某一网络业务建模为一系列的VNFs,称为业务链。给定一个连接请求(源节点、目的节点和服务链需求,服务链需求是一个函数序列),服务链问题的目的是寻找一条合适的服务路径,该路径从源节点开始,以目标节点结束,同时在中间节点按要求的顺序执行VNFs。一些现有的工作注意到服务链问题类似于最短路径漫游问题(SPTP)。据我们所知,这是第一个将服务链问题精确地表述为基于sptp的整数线性规划(ILP)的工作。数值结果表明,基于sptp的ILP可以支持比现有ILP大1.30-1.77倍的系统规模。
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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