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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhongjing Ma Caines, P.E. Malhame, R.P. |
| Copyright Year | 1963 |
| Abstract | Call admission and routing control decisions in stochastic loss (circuit-switched) networks with semi Markovian, multi-class, call arrival and general connection time processes are formulated as optimal stochastic control problems. The resulting so-called Hybrid Dynamic Programming equation systems take the form of vectors of partial differential equations with each component associated to a distinct distribution of routed calls over the network (i.e. distinct occupation states). This framework reduces to that of a Markov Decision Process when the traffic is Poisson and the associated computational limitations are approximately those of linear programs. Examples are provided of (i) network state space constructions and controlled state transition processes, (ii) a new closed form solution for a simple network, and (iii) the analysis and illustrative numerical results for a three link network. |
| Sponsorship | IEEE Control Systems Society |
| Starting Page | 350 |
| Ending Page | 366 |
| Page Count | 17 |
| File Size | 806601 |
| File Format | |
| ISSN | 00189286 |
| Volume Number | 55 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-02-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Routing Dynamic programming Optimal control Stochastic processes Partial differential equations Circuits Differential equations Poisson equations Vectors Communication system traffic control loss networks Call admission and routing control hybrid dynamic programming (HDP) equations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications |
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