离散事件仿真模型的存储与检索

Henk de Swaan Arons, Csaba Attila Boer
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引用次数: 22

摘要

现有的仿真语言为建模者提供了强大的工具,方便了离散事件仿真模型的建立。这些模型基本上可以通过使用包含大量内置功能的高级模块来构建。尽管这些语言极大地减少了构建实现模型的工作量,但建模者常常觉得自己是在一次又一次地重新发明轮子。也许他将要设计和实现的模型已经存在,或者可能存在与将要设计的模型足够相似的模型。所有这些都使得将现有模型存储在数据库中以供以后使用是值得的。在这方面,有两个方面值得关注。首先,如何将实现模型存储在数据库中,以及建模人员如何从这样的数据库检索特定的模型?第二个主题与此密切相关。如果指定的模型不存在于数据库中(大多数情况下都是这样),那么是否可以选择一个在某种意义上与建模师指定的模型相似的模型呢?本文以Arena模型为重点,研究了该方法的可行性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Storage and retrieval of discrete-event simulation models

Present simulation languages provide the modeler with powerful tools that facilitate the building of discrete-event simulation models. These models can largely be built by using high-level modules containing a lot of built-in functionality. Although such languages greatly reduce the amount of work to build an implementation model, the modeler often has the feeling that he is reinventing the wheel again and again. Perhaps the model he is about to design and implement already exists, or perhaps some model exists that sufficiently resembles the model about to be designed. All this would make it worthwhile to store existing models in a database for later use. In this respect, two aspects are of major interest. Firstly, how can implementation models be stored in a database and how can a modeler retrieve a specific model from such a database? A second theme is closely related to this. If the specified model is not present in the database – and this is expected to be true in most cases – would it then be possible to select a model that, in some sense, is similar to the model that the modeler had specified? In this paper, the feasibility and usefulness of the proposed approach is investigated with a focus on Arena models.

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