{"title":"并行生产系统的分析性能模型","authors":"Jau-Hwang Wang, J. Srivastava","doi":"10.1109/TAI.1992.246430","DOIUrl":null,"url":null,"abstract":"An analytical model for parallel production systems is developed, where rule firing is modeled as a transaction. Both resource contention and data contention are modeled in detail, and the performance of locking-based and optimistic approaches is analyzed. It is shown that significant speedup can be gained in parallel rule execution. The main contribution is the insight into parallel rule firing provided by the parametric model.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An analytical performance model for parallel production systems\",\"authors\":\"Jau-Hwang Wang, J. Srivastava\",\"doi\":\"10.1109/TAI.1992.246430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An analytical model for parallel production systems is developed, where rule firing is modeled as a transaction. Both resource contention and data contention are modeled in detail, and the performance of locking-based and optimistic approaches is analyzed. It is shown that significant speedup can be gained in parallel rule execution. The main contribution is the insight into parallel rule firing provided by the parametric model.<<ETX>>\",\"PeriodicalId\":265283,\"journal\":{\"name\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1992.246430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1992.246430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An analytical performance model for parallel production systems
An analytical model for parallel production systems is developed, where rule firing is modeled as a transaction. Both resource contention and data contention are modeled in detail, and the performance of locking-based and optimistic approaches is analyzed. It is shown that significant speedup can be gained in parallel rule execution. The main contribution is the insight into parallel rule firing provided by the parametric model.<>
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