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.