{"title":"避免在瞬态过载下的截止日期衰减","authors":"B. R. Swim, M. Tayli, M. Benmaiza, M. Woodward","doi":"10.1109/WPDRTS.1995.470486","DOIUrl":null,"url":null,"abstract":"Deadline scheduling policies based on stochastic computation times perform well in average but fail in presence of transient overloads, causing already scheduled tasks to miss their deadline. This paper presents an approach using medium-term scheduling policies to cope with the problem of transient overload in dynamic real-time systems. The proposed approach has been implemented in a Real-Time Distributed Operating System (RTDOS) running on a Transputer network.<<ETX>>","PeriodicalId":438550,"journal":{"name":"Proceedings of Third Workshop on Parallel and Distributed Real-Time Systems","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Avoiding deadline decay under transient overloads\",\"authors\":\"B. R. Swim, M. Tayli, M. Benmaiza, M. Woodward\",\"doi\":\"10.1109/WPDRTS.1995.470486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deadline scheduling policies based on stochastic computation times perform well in average but fail in presence of transient overloads, causing already scheduled tasks to miss their deadline. This paper presents an approach using medium-term scheduling policies to cope with the problem of transient overload in dynamic real-time systems. The proposed approach has been implemented in a Real-Time Distributed Operating System (RTDOS) running on a Transputer network.<<ETX>>\",\"PeriodicalId\":438550,\"journal\":{\"name\":\"Proceedings of Third Workshop on Parallel and Distributed Real-Time Systems\",\"volume\":\"58 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.1995.470486\",\"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.1995.470486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deadline scheduling policies based on stochastic computation times perform well in average but fail in presence of transient overloads, causing already scheduled tasks to miss their deadline. This paper presents an approach using medium-term scheduling policies to cope with the problem of transient overload in dynamic real-time systems. The proposed approach has been implemented in a Real-Time Distributed Operating System (RTDOS) running on a Transputer network.<>
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
