A Distributed Semiasynchronous Algorithm for Network Traffic Engineering

Wei Cheng Liao, Mingyi Hong, Hamid Farmanbar, Zhi Quan Luo

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In this paper, we consider the traffic engineering problem in a large-scale hierarchical network arising in the next-generation cloud-based wireless networks. We propose a distributed semiasynchronous algorithm for this problem based on the so-called block successive upper bound minimization method of multipliers (BSUM-M). Theoretically, we show that the proposed algorithm converges to the global optimal solution under some assumptions on the degree of network asynchrony. We illustrate the effectiveness and efficiency of the proposed algorithm by comparing it with the state-of-the-art commercial solvers in a networked environment.

Original languageEnglish (US)
Article number7964730
Pages (from-to)436-450
Number of pages15
JournalIEEE Transactions on Signal and Information Processing over Networks
Issue number3
StatePublished - Sep 2018

Bibliographical note

Publisher Copyright:
© 2015 IEEE.


  • ADMM
  • cloud traffic management
  • distributed asynchronous optimization
  • traffic engineering


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