Stochastic systems: estimation, identification and adaptive control
Stochastic systems: estimation, identification and adaptive control
Time-shared Systems: a theoretical treatment
Journal of the ACM (JACM)
Sharing a Processor Among Many Job Classes
Journal of the ACM (JACM)
Performance '87 Proceedings of the 12th IFIP WG 7.3 International Symposium on Computer Performance Modelling, Measurement and Evaluation
Sojourn time distribution in the M/M/1 queue with discriminatory processor-sharing
Performance Evaluation
A survey on discriminatory processor sharing
Queueing Systems: Theory and Applications
Hierarchical game and bi-level optimization for controlling network usage via pricing
NET-COOP'07 Proceedings of the 1st EuroFGI international conference on Network control and optimization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Pricing for heterogeneous services at a discriminatory processor sharing queue
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
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This paper gives a simple, accurate first order asymptotic analysis of the transient and steady state behavior of a network which is closed, not product-form and has multiple classes. One of the two nodes of the network is an infinite server and the discipline in the other node is discriminatory processor-sharing. Specifically, if there are nj jobs of class j at the latter node, then each class j job receives a fraction wj/(&Sgr;wini) of the processor capacity. This work has applications to data networks. For the asymptotic regime of high loading of the processor and high processing capacity, we derive the explicit first order transient behavior of the means of queue lengths. We also give explicit expressions for the steady state mean values and a simple procedure for finding the time constants (eigenvalues) that govern the approach to steady state. The results are based on an extension of Kurtz's theorem concerning the fluid limit of Markov processes. Some numerical experiments show that the analysis is quite accurate.