{"title":"恒带宽服务器的最优尺寸","authors":"G. Buttazzo, Enrico Bini","doi":"10.1109/RTSS.2006.31","DOIUrl":null,"url":null,"abstract":"The constant bandwidth server (CBS) is an effective scheduling technique frequently used to handle overruns and implement resource reservation in real-time systems where tasks have variable execution requirements. The behavior of the server is tuned by two parameters: the server bandwidth, which defines the fraction of the processor allocated to the task, and the server period, which defines the time granularity of the allocation. The effect of the granularity on task executions has never been studied before, so it is typically assigned using ad-hoc considerations. This paper presents a statistical study to evaluate the effects of the server parameters on task response times, and proposes a technique to compute the best parameters that minimize the average response time of the served tasks","PeriodicalId":353932,"journal":{"name":"2006 27th IEEE International Real-Time Systems Symposium (RTSS'06)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Optimal Dimensioning of a Constant Bandwidth Server\",\"authors\":\"G. Buttazzo, Enrico Bini\",\"doi\":\"10.1109/RTSS.2006.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The constant bandwidth server (CBS) is an effective scheduling technique frequently used to handle overruns and implement resource reservation in real-time systems where tasks have variable execution requirements. The behavior of the server is tuned by two parameters: the server bandwidth, which defines the fraction of the processor allocated to the task, and the server period, which defines the time granularity of the allocation. The effect of the granularity on task executions has never been studied before, so it is typically assigned using ad-hoc considerations. This paper presents a statistical study to evaluate the effects of the server parameters on task response times, and proposes a technique to compute the best parameters that minimize the average response time of the served tasks\",\"PeriodicalId\":353932,\"journal\":{\"name\":\"2006 27th IEEE International Real-Time Systems Symposium (RTSS'06)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 27th IEEE International Real-Time Systems Symposium (RTSS'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTSS.2006.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 27th IEEE International Real-Time Systems Symposium (RTSS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSS.2006.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Dimensioning of a Constant Bandwidth Server
The constant bandwidth server (CBS) is an effective scheduling technique frequently used to handle overruns and implement resource reservation in real-time systems where tasks have variable execution requirements. The behavior of the server is tuned by two parameters: the server bandwidth, which defines the fraction of the processor allocated to the task, and the server period, which defines the time granularity of the allocation. The effect of the granularity on task executions has never been studied before, so it is typically assigned using ad-hoc considerations. This paper presents a statistical study to evaluate the effects of the server parameters on task response times, and proposes a technique to compute the best parameters that minimize the average response time of the served tasks