Optimization Flow Control , I : Basic Algorithm andConvergenceSteven

نویسندگان

  • Steven H. Low
  • David E. Lapsley
چکیده

| We propose an optimization approach to ow control where the objective is to maximize the aggregate source utility over their transmission rates. We view network links and sources as processors of a distributed computation system to solve the dual problem using gradient projection algorithm. In this system sources select transmission rates that maximize their own beneets, utility minus bandwidth cost, and network links adjust bandwidth prices to coordinate the sources' decisions. We allow feedback delays to be diierent, substantial and time{varying, and links and sources to update at diierent times and with diier-ent frequencies. We provide asynchronous distributed algorithms and prove their convergence in a static environment. We present measurements obtained from a preliminary prototype to illustrate the convergence of the algorithm in a slowly time{varying environment.

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تاریخ انتشار 1999