arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.13230cs.NI
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不同模式SDN/NFV网络中联合路由和功能配置的能量效率

Energy Efficiency Through Joint Routing and Function Placement in Different Modes of SDN/NFV Networks

Reza Moosavi, Saeedeh Parsaeefard, Mohammad Ali Maddah-Ali, Vahid Shah-Mansouri, Babak Hossein Khalaj, Mehdi Bennis

摘要:

网络功能虚拟化(NFV)和软件定义网络(SDN)是实现5G和6 G服务并实现成本降低、网络可扩展性和部署灵活性的两种有前景的技术。然而,迁移到完整的SDN/NFV网络以提供这些服务对于移动运营商来说是一个耗时的过程并且成本高昂。本文重点关注移动核心网(MCN)向完全SDN/NFV网络过渡期间的能效问题,并探讨在此类迁移期间如何解决能效问题。我们提出了一个通用的系统模型,包含传统的节点和链路的组合,除了新引入的NFV和SDN节点。我们将该系统模型称为部分SDN和混合NFV MCN,其可以覆盖SDN和NFV实现的不同模式。基于这个框架,我们制定能源效率考虑联合路由和功能放置在网络中。由于该问题属于非线性整数规划问题,为了有效地求解该问题,提出了一种基于多级图建模的改进Viterbi算法(MVA)和一种改进的Dijkstra算法。我们模拟了这种算法的一些网络场景与不同分数的NFV和SDN节点,并评估多少能量可以通过这样的过渡节省。仿真结果证实了该算法的预期性能,与所有节点始终开启的网络相比,该算法节省了高达70%的能量。有趣的是,在混合NFV和部分SDN网络的情况下,该算法节省的能量可以达到完全NFV/SDN网络节省的能量的60-90%。

英文摘要:

Network function virtualization (NFV) and software defined networking (SDN) are two promising technologies to enable 5G and 6G services and achieve cost reduction, network scalability, and deployment flexibility. However, migration to full SDN/NFV networks in order to serve these services is a time consuming process and costly for mobile operators. This paper focuses on energy efficiency during the transition of mobile core networks (MCN) to full SDN/NFV networks, and explores how energy efficiency can be addressed during such migration. We propose a general system model containing a combination of legacy nodes and links, in addition to newly introduced NFV and SDN nodes. We refer to this system model as partial SDN and hybrid NFV MCN which can cover different modes of SDN and NFV implementations. Based on this framework, we formulate energy efficiency by considering joint routing and function placement in the network. Since this problem belongs to the class of non-linear integer programming problems, to solve it efficiently, we present a modified Viterbi algorithm (MVA) based on multi-stage graph modeling and a modified Dijkstra's algorithm. We simulate this algorithm for a number of network scenarios with different fractions of NFV and SDN nodes, and evaluate how much energy can be saved through such transition. Simulation results confirm the expected performance of the algorithm which saves up to 70% energy compared to network where all nodes are always on. Interestingly, the amount of energy saved by the proposed algorithm in the case of hybrid NFV and partial SDN networks can reach up to 60-90% of the saved energy in full NFV/SDN networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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