{"title":"强p -公平性:实时应用程序的调度策略","authors":"Sanjoy Baruah","doi":"10.1109/RTA.1994.316134","DOIUrl":null,"url":null,"abstract":"Many real-time multimedia applications consume data at a steady rate over an extended period of time. This data often needs to be retrieved from storage servers, or captured at remote locations and transported over communication networks to the application. We describe a new approach to the design of such systems. We formalize a model of data usage, define a measure of temporal fairness, and present results which illustrate both the scope and the limitations of our approach.<<ETX>>","PeriodicalId":399167,"journal":{"name":"Proceedings of 2nd IEEE Workshop on Real-Time Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Strong P-fairness: a scheduling strategy for real-time applications\",\"authors\":\"Sanjoy Baruah\",\"doi\":\"10.1109/RTA.1994.316134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many real-time multimedia applications consume data at a steady rate over an extended period of time. This data often needs to be retrieved from storage servers, or captured at remote locations and transported over communication networks to the application. We describe a new approach to the design of such systems. We formalize a model of data usage, define a measure of temporal fairness, and present results which illustrate both the scope and the limitations of our approach.<<ETX>>\",\"PeriodicalId\":399167,\"journal\":{\"name\":\"Proceedings of 2nd IEEE Workshop on Real-Time Applications\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2nd IEEE Workshop on Real-Time Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTA.1994.316134\",\"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 2nd IEEE Workshop on Real-Time Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTA.1994.316134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Strong P-fairness: a scheduling strategy for real-time applications
Many real-time multimedia applications consume data at a steady rate over an extended period of time. This data often needs to be retrieved from storage servers, or captured at remote locations and transported over communication networks to the application. We describe a new approach to the design of such systems. We formalize a model of data usage, define a measure of temporal fairness, and present results which illustrate both the scope and the limitations of our approach.<>