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| Content Provider | Springer Nature Link |
|---|---|
| Author | Li, Ran Reveliotis, Spyros |
| Copyright Year | 2015 |
| Abstract | In a recent work we have proposed a theoretical framework for developing optimized scheduling policies for complex resource allocation systems (RAS). This framework relies heavily on the expression of the RAS dynamics in the modeling framework of the Generalized Stochastic Petri Nets (GSPNs), and the employment of this GSPN-based representation towards the establishment of a systematic trade-off between the representational economy of the target scheduling policies and their operational efficiency. In this paper, we enhance the representational economy of the target policies in the aforementioned framework by taking advantage of some notions of “(non-)conflict” in the transitional dynamics of the underlying RAS-modeling GSPNs. A series of numerical experiments demonstrate that the representational gains resulting from the presented methodology can be very substantial. |
| Starting Page | 511 |
| Ending Page | 537 |
| Page Count | 27 |
| File Format | |
| ISSN | 09246703 |
| Journal | Discrete Event Dynamic Systems |
| Volume Number | 26 |
| Issue Number | 3 |
| e-ISSN | 15737594 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2015-09-05 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Generalized stochastic petri nets Performance optimization Scheduling Structural analysis Sequential resource allocation systems Systems Theory, Control Operation Research/Decision Theory Convex and Discrete Geometry Electrical Engineering Manufacturing, Machines, Tools |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Modeling and Simulation |
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