一种虚拟化深度包检测部署机制

发布时间：2018-03-31 02:33

本文选题：深度包检测　切入点：部署　出处：《计算机科学》2017年08期

【摘要】：网络功能虚拟化转变了网络架构和网络业务的部署。在网络功能虚拟化架构中,实现虚拟化深度包检测只需在传输路径上进行一次扫描,但高效部署深度包检测功能引擎成为难题。将深度包检测功能部署问题形式化为线性规划问题以满足约束条件,并提出一种基于代价最小的贪婪算法和优化的贪婪算法来解决深度包检测功能部署问题。该算法对部署代价和网络资源代价进行折衷,实现了最小化的部署代价。实验结果表明,所提算法能够实现深度包检测功能部署并取得近似最优解。
[Abstract]:The virtualization of network functions has transformed the network architecture and the deployment of network services.In the network function virtualization architecture, only one scan on the transmission path is needed to realize the virtualized depth packet detection, but the efficient deployment of the depth packet detection engine becomes a difficult problem.The function deployment problem of depth packet detection is formalized as a linear programming problem to satisfy the constraint conditions. A greedy algorithm based on minimum cost and an optimized greedy algorithm are proposed to solve the deployment problem of depth packet detection function.This algorithm tradeoffs the deployment cost and the network resource cost, and realizes the minimum deployment cost.Experimental results show that the proposed algorithm can achieve the deployment of depth packet detection function and obtain approximate optimal solution.
【作者单位】：武汉邮电科学研究院;
【基金】：863项目:未来一体化标识网络关键技术和示范(2015AA015702)资助
【分类号】：TP393.0

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