OpEM distributed simulation
Article Abstract:
Distributed simulation based on Operational Evaluation Modeling (OpEM) is discussed. OpEM, a system design and analysis methodology, uses a two-dimensional, directed graph language to describe system operation. The OpEM simulation programming system, that implements this methodology, includes object-oriented event processing routines, moving-object routines, an expert system controller, and continuous system simulation routines. These routines are required to model large systems, such as the Strategic Defense initiative (SDI) systems, context sensitive interactions. These interactions are modeled using a large global state space consisting of both discrete and continuous state variables. Execution of such large, complex models on uniprocessors can be slow; therefore, possible speedup by execution on a multiprocessor system, a set of processors that share memory, is investigated. A generic surface-ship warfare simulation, characteristic of many large models, is executed on a simulation of a multiprocessor system to investigate speedup. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1991
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Storing data from simulation runs for compactness and quick retrieval
Article Abstract:
Simulation models can generate tremendous quantities of data. This paper describes data compression and file organization techniques which were developed to reduce the disk space required by these data. The compression techniques, which include prefix encoding, differencing and scaling, reduced one file of state variable histories by 73%. Also described is a method which allows histories of many variables to share a single file without requiring individual recorded values to be identified as to their source. This technique reduced by 99% the time to extract the history of a single variable from a file of histories of 600 state variables. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1991
User Contributions:
Comment about this article or add new information about this topic:
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