Throughput Maximization of NFV-Enabled Unicasting in Software-Defined Networks
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论文类型：会议论文
发表时间：2018-01-01
发表刊物：2017 IEEE Global Communications Conference, GLOBECOM 2017
收录刊物：Scopus
卷号：2018-January
页面范围：1-6
摘要：Data transfers in contemporary networks depend upon network functions for ensuring data security and system performance. These policies are represented by a service chain that consists of different network functions such as firewalls, Intrusion Detection Systems (IDSs), transcoders, etc. Network Function Virtualization (NFV) has emerged as a promising technology to meet the stringent requirement imposed on the service chain. In this paper, we study NFV-enabled unicasting in SDNs with and without end-to-end delay constraints. We aim to maximize the network throughput for a sequence of NFV-enabled unicast requests without the knowledge of future arrivals. We first formulate the problems as novel optimization problems in terms of both computing and bandwidth resource consumptions, and provide a generic optimization framework. We then develop an online algorithm with guaranteed performance without the delay requirement and a heuristic with the delay requirement. We finally evaluate the performance of the proposed algorithms through experimental simulations. The results of the experimental simulations show that the proposed algorithms are promising. ? 2017 IEEE.
发表时间：2018-01-01