MATHEMATICAL ENGINEERING TECHNICAL REPORTS Polynomial-time Randomized Approximation and Perfect Sampler for Closed Jackson Networks with Single Servers

نویسندگان

  • Shuji KIJIMA
  • Tomomi MATSUI
چکیده

In this paper, we propose the first fully polynomial-time randomized approximation scheme (FPRAS) for basic queueing networks, closed Jackson networks with single servers. Our algorithm is based on MCMC (Markov chain Monte Carlo) method. Thus, our scheme returns an approximate solution, of which the size of error satisfies a given error rate. We propose two Markov chains, one is for approximate sampling, and the other is for perfect sampling based on monotone coupling from the past algorithm.

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تاریخ انتشار 2005