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has been cited by the following article:

• TITLE: Distributed Middlebox Placement Based on Potential Game

  AUTHORS: Yongwen Li, Zhiyi Qu

  KEYWORDS: Middlebox Placement, Performance Optimization, Potential Game, Matching Graph, Distributed Algorithm

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.10 No.5B, May 26, 2017

  ABSTRACT: In this paper, we analyse the deployment of middlebox. For a given network information and policy requirements, an attempt is made to determine the optimal location of middlebox to achieve the best performance. In terms of the end-to-end delay as a performance optimization index, a distributed middlebox placement algorithm based on potential game is proposed. Through extensive simulations, it demonstrates that the proposed algorithm achieves the near-optimal solution, and the end-to-end delay decreases significantly.