Information models for queueing system simulation
When planning simulations of large-scale systems, it is important to anticipate what information is required to model the system and obtain desired output. This can be done without tying the study to a specific simulation package or language. It is valuable to do so to avoid unnecessarily long devel...
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| Veröffentlicht in: | ACM transactions on modeling and computer simulation 2010-04, Vol.20 (2), p.1-34 |
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| container_title | ACM transactions on modeling and computer simulation |
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| creator | Roeder, Theresa M. Schruben, Lee W. |
| description | When planning simulations of large-scale systems, it is important to anticipate what information is required to model the system and obtain desired output. This can be done without tying the study to a specific simulation package or language. It is valuable to do so to avoid unnecessarily long development and execution times. In this article, we offer a simulation information model (SIM) designed to help organize system information in the early stages of a project. (It can also be used to analyze existing models.) The SIM allows complexity analysis of the system to be performed, and may lead to a better selection of simulation language. The SIM is illustrated using two examples, and its relationship to current formalisms is discussed. |
| doi_str_mv | 10.1145/1734222.1734224 |
| format | Article |
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| ispartof | ACM transactions on modeling and computer simulation, 2010-04, Vol.20 (2), p.1-34 |
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| source | ACM Digital Library Complete |
| title | Information models for queueing system simulation |
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