{"title":"用于将实时应用程序映射到异构、分布式目标平台的应用程序流排序","authors":"S. Chatterjee, J. Strosnider","doi":"10.1109/WPDRTS.1995.470492","DOIUrl":null,"url":null,"abstract":"Mapping, i.e., allocating resources to applications and finding I/O routes between resources, is a crucial step in meeting real-time/multi-media applications' end-to-end timing requirements. Given a set of real-time applications, the order in which they are mapped can also greatly impact whether these timing requirements are met. Because the optimal ordering solution is intractable, this paper introduces a logical application stream laxity metric that can be used to order the application streams in linear time that produces excellent results. We apply this metric to an example audio/video application set to illustrate our approach and to compare our solution to the optimal one.<<ETX>>","PeriodicalId":438550,"journal":{"name":"Proceedings of Third Workshop on Parallel and Distributed Real-Time Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application stream ordering for mapping real-time applications to a heterogeneous, distributed target platform\",\"authors\":\"S. Chatterjee, J. Strosnider\",\"doi\":\"10.1109/WPDRTS.1995.470492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mapping, i.e., allocating resources to applications and finding I/O routes between resources, is a crucial step in meeting real-time/multi-media applications' end-to-end timing requirements. Given a set of real-time applications, the order in which they are mapped can also greatly impact whether these timing requirements are met. Because the optimal ordering solution is intractable, this paper introduces a logical application stream laxity metric that can be used to order the application streams in linear time that produces excellent results. We apply this metric to an example audio/video application set to illustrate our approach and to compare our solution to the optimal one.<<ETX>>\",\"PeriodicalId\":438550,\"journal\":{\"name\":\"Proceedings of Third Workshop on Parallel and Distributed Real-Time Systems\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Third Workshop on Parallel and Distributed Real-Time Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WPDRTS.1995.470492\",\"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 of Third Workshop on Parallel and Distributed Real-Time Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPDRTS.1995.470492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application stream ordering for mapping real-time applications to a heterogeneous, distributed target platform
Mapping, i.e., allocating resources to applications and finding I/O routes between resources, is a crucial step in meeting real-time/multi-media applications' end-to-end timing requirements. Given a set of real-time applications, the order in which they are mapped can also greatly impact whether these timing requirements are met. Because the optimal ordering solution is intractable, this paper introduces a logical application stream laxity metric that can be used to order the application streams in linear time that produces excellent results. We apply this metric to an example audio/video application set to illustrate our approach and to compare our solution to the optimal one.<>