Zhao Qi, Zhang Chuanhao, Zhao Zheng
Computer Science and Technology College, Jilin University, Changchun, Jilin, China.
Department of Public Security Technology, Railway Police College, Zhengzhou, Henan, China.
PLoS One. 2017 Dec 21;12(12):e0189336. doi: 10.1371/journal.pone.0189336. eCollection 2017.
Network services are an important component of the Internet, which are used to expand network functions for third-party developers. Network function virtualization (NFV) can improve the speed and flexibility of network service deployment. However, with the evolution of the network, network service layout may become inefficient. Regarding this problem, this paper proposes a service chain migration (SCM) method with the framework of "software defined network + network function virtualization" (SDN+NFV), which migrates service chains to adapt to network evolution and improves the efficiency of the network service layout. SCM is modeled as an integer linear programming problem and resolved via particle swarm optimization. An SCM prototype system is designed based on an SDN controller. Experiments demonstrate that SCM could reduce the network traffic cost and energy consumption efficiently.
网络服务是互联网的重要组成部分，用于为第三方开发者扩展网络功能。网络功能虚拟化（NFV）可以提高网络服务部署的速度和灵活性。然而，随着网络的演进，网络服务布局可能会变得低效。针对这一问题，本文提出了一种基于“软件定义网络+网络功能虚拟化”（SDN+NFV）框架的服务链迁移（SCM）方法，该方法通过迁移服务链来适应网络演进，提高网络服务布局的效率。SCM被建模为一个整数线性规划问题，并通过粒子群优化算法求解。基于SDN控制器设计了一个SCM原型系统。实验表明，SCM能够有效地降低网络流量成本和能耗。
