{"title":"基于devs的多形式化模型的分布式仿真","authors":"H. Praehofer, Gernot Reisinger","doi":"10.1109/AIHAS.1994.390489","DOIUrl":null,"url":null,"abstract":"In this paper we introduce a new approach for parallel, distributed simulation of modular, hierarchical DEVS and DEVS-based combined discrete/continuous multiformalism models. The algorithm combines conservative and optimistic distributed simulation strategies and is able to optimally exploit lookahead capabilities of the model. The object oriented implementation in C++ is intended to serve as a powerful simulator in the STIMS modeling and simulation environment.<<ETX>>","PeriodicalId":339028,"journal":{"name":"Fifth Annual Conference on AI, and Planning in High Autonomy Systems","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Distributed simulation of DEVS-based multiformalism models\",\"authors\":\"H. Praehofer, Gernot Reisinger\",\"doi\":\"10.1109/AIHAS.1994.390489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we introduce a new approach for parallel, distributed simulation of modular, hierarchical DEVS and DEVS-based combined discrete/continuous multiformalism models. The algorithm combines conservative and optimistic distributed simulation strategies and is able to optimally exploit lookahead capabilities of the model. The object oriented implementation in C++ is intended to serve as a powerful simulator in the STIMS modeling and simulation environment.<<ETX>>\",\"PeriodicalId\":339028,\"journal\":{\"name\":\"Fifth Annual Conference on AI, and Planning in High Autonomy Systems\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth Annual Conference on AI, and Planning in High Autonomy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIHAS.1994.390489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth Annual Conference on AI, and Planning in High Autonomy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIHAS.1994.390489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed simulation of DEVS-based multiformalism models
In this paper we introduce a new approach for parallel, distributed simulation of modular, hierarchical DEVS and DEVS-based combined discrete/continuous multiformalism models. The algorithm combines conservative and optimistic distributed simulation strategies and is able to optimally exploit lookahead capabilities of the model. The object oriented implementation in C++ is intended to serve as a powerful simulator in the STIMS modeling and simulation environment.<>
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