Introduction to queueing networks
Introduction to queueing networks
Asymptotically optimal importance sampling for product-form queuing networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Exact sampling with coupled Markov chains and applications to statistical mechanics
Proceedings of the seventh international conference on Random structures and algorithms
The Markov chain Monte Carlo method: an approach to approximate counting and integration
Approximation algorithms for NP-hard problems
Towards a polynomial-time randomized algorithm for closed product-form networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Open, Closed, and Mixed Networks of Queues with Different Classes of Customers
Journal of the ACM (JACM)
How to couple from the past using a read-once source of randomness
Random Structures & Algorithms
Extension of Fill's perfect rejection sampling algorithm to general chains
Proceedings of the ninth international conference on on Random structures and algorithms
Computational algorithms for closed queueing networks with exponential servers
Communications of the ACM
Randomized algorithms: approximation, generation, and counting
Randomized algorithms: approximation, generation, and counting
Path coupling: A technique for proving rapid mixing in Markov chains
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
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In this paper, we propose two samplers for the productform solution of basic queueing networks, closed Jackson networks with multiple servers. Our approach is sampling via Markov chain, but it is NOT a simulation of behavior of customers in queueing networks. We propose two of new ergodic Markov chains both of which have a unique stationary distribution that is the product form solution of closed Jackson networks. One of them is for approximate sampling, and we show it mixes rapidly. To our knowledge, this is the first approximate polynomial-time sampler for closed Jackson networks with multiple servers. The other is for perfect sampling based on monotone CFTP (coupling from the past) algorithm proposed by Propp and Wilson, and we show the monotonicity of the chain.