{"title":"SCED调度的流体流动解释","authors":"J. Liebeherr","doi":"10.1109/ITC30.2018.10057","DOIUrl":null,"url":null,"abstract":"We show that a fluid-flow interpretation of Service Curve Earliest Deadline First (SCED) scheduling simplifies deadline derivations for this scheduler. By exploiting the recently reported isomorphism between min-plus and max-plus network calculus and expressing deadlines in a max-plus algebra, deadline computations no longer require explicit pseudo-inverse computations. SCED deadlines are provided for latency-rate as well as a class of piecewise linear service curves.","PeriodicalId":159861,"journal":{"name":"2018 30th International Teletraffic Congress (ITC 30)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Fluid-Flow Interpretation of SCED Scheduling\",\"authors\":\"J. Liebeherr\",\"doi\":\"10.1109/ITC30.2018.10057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We show that a fluid-flow interpretation of Service Curve Earliest Deadline First (SCED) scheduling simplifies deadline derivations for this scheduler. By exploiting the recently reported isomorphism between min-plus and max-plus network calculus and expressing deadlines in a max-plus algebra, deadline computations no longer require explicit pseudo-inverse computations. SCED deadlines are provided for latency-rate as well as a class of piecewise linear service curves.\",\"PeriodicalId\":159861,\"journal\":{\"name\":\"2018 30th International Teletraffic Congress (ITC 30)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 30th International Teletraffic Congress (ITC 30)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITC30.2018.10057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 30th International Teletraffic Congress (ITC 30)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITC30.2018.10057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We show that a fluid-flow interpretation of Service Curve Earliest Deadline First (SCED) scheduling simplifies deadline derivations for this scheduler. By exploiting the recently reported isomorphism between min-plus and max-plus network calculus and expressing deadlines in a max-plus algebra, deadline computations no longer require explicit pseudo-inverse computations. SCED deadlines are provided for latency-rate as well as a class of piecewise linear service curves.