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End-to-End Delay Minimization based Joint Route Selection and Network Function Placement in SDN

机译:基于端到端的延迟最小化基于SDN的联合路由选择和网络功能放置

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The integration of software-defined networking (S-DN) and network function virtualization (NFV) is expected to achieve the convenient management and flexible deployment of various sophisticated network functions, and support user applications with guaranteed quality of service (QoS). In this paper, we jointly study route selection and network function placement problem. To stress the service sensitivity on delay, we formulate an optimization problem which minimizes the total end-to-end delay subject to data transmission, service requirement and various available resource constraints. As the formulated problem is an NP-hard problem, which cannot be solved easily, we transform it into three subproblems, i.e., route selection subproblem, network function placement subproblem and resource sharing subproblem of user flows, and solve the three subproblems by applying the K-shortest paths algorithm, Kuhn-Munkres (K-M) algorithm and Lagrangian dual method, respectively. Numerical results demonstrate the effectiveness of the proposed algorithm.
机译:预计软件定义网络(S-DN)和网络功能虚拟化(NFV)的集成将实现方便的管理和灵活部署各种复杂的网络功能,并支持具有保证服务质量(QoS)的用户应用程序。在本文中,我们共同研究了路线选择和网络功能放置问题。为了强调延迟时的服务敏感性,我们制定了优化问题,最小化了数据传输,服务要求和各种可用资源约束的总端到端延迟。由于配制的问题是一个无法轻易解决的NP难题,我们将其转化为三个子问题,即路由选择子问题,网络功能放置子发布和资源共享用户流共享,并通过应用来解决三个子问题K-Shortest Paths算法,Kuhn-Munkres(KM)算法和拉格朗日双方法。数值结果证明了所提出的算法的有效性。

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