{"title":"自适应分布式仿真研究","authors":"Donald O. Hamnes, A. Tripathi","doi":"10.1145/182478.182481","DOIUrl":null,"url":null,"abstract":"A new adaptive protocol for distributed discrete event simulation is proposed. This protocol spans the continuum of protocols from conservative to optimistic allowing each process in a distributed simulation to adapt to the specific simulation problem at runtime. An actual implementation of the protocol has been tested on a network of workstations for a closed queueing system. The results are very favorable and the algorithm has outperformed a conservative and an optimistic protocol in some cases.","PeriodicalId":194781,"journal":{"name":"Workshop on Parallel and Distributed Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"41","resultStr":"{\"title\":\"Investigations in adaptive distributed simulation\",\"authors\":\"Donald O. Hamnes, A. Tripathi\",\"doi\":\"10.1145/182478.182481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new adaptive protocol for distributed discrete event simulation is proposed. This protocol spans the continuum of protocols from conservative to optimistic allowing each process in a distributed simulation to adapt to the specific simulation problem at runtime. An actual implementation of the protocol has been tested on a network of workstations for a closed queueing system. The results are very favorable and the algorithm has outperformed a conservative and an optimistic protocol in some cases.\",\"PeriodicalId\":194781,\"journal\":{\"name\":\"Workshop on Parallel and Distributed Simulation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"41\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Parallel and Distributed Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/182478.182481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Parallel and Distributed Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/182478.182481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new adaptive protocol for distributed discrete event simulation is proposed. This protocol spans the continuum of protocols from conservative to optimistic allowing each process in a distributed simulation to adapt to the specific simulation problem at runtime. An actual implementation of the protocol has been tested on a network of workstations for a closed queueing system. The results are very favorable and the algorithm has outperformed a conservative and an optimistic protocol in some cases.