{"title":"基于可变利用率服务器的开放式分布式实时环境","authors":"Pengliu Tan, Hai Jin, Minghu Zhang","doi":"10.1109/IMSCCS.2006.36","DOIUrl":null,"url":null,"abstract":"This paper extends the environment for open distributed real-time systems, where hard or soft real-time applications may run concurrently with non-real-time applications. We replace the top-level improved constant utilization server scheduler of the open system architecture in with variable utilization server scheduler. The proposed open real-time environment in this paper allows tasks in each application to share local and global nonpreemptive resources, which accommodates a much broader spectrum of real-time applications. Additionally, the extended environment assigns CPU bandwidth to each server in a more flexible and more adaptive way. The evaluation results show the performance of the open system is also improved considerably","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Open Distributed Real-time Environment Based on Variable Utilization Server\",\"authors\":\"Pengliu Tan, Hai Jin, Minghu Zhang\",\"doi\":\"10.1109/IMSCCS.2006.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper extends the environment for open distributed real-time systems, where hard or soft real-time applications may run concurrently with non-real-time applications. We replace the top-level improved constant utilization server scheduler of the open system architecture in with variable utilization server scheduler. The proposed open real-time environment in this paper allows tasks in each application to share local and global nonpreemptive resources, which accommodates a much broader spectrum of real-time applications. Additionally, the extended environment assigns CPU bandwidth to each server in a more flexible and more adaptive way. The evaluation results show the performance of the open system is also improved considerably\",\"PeriodicalId\":202629,\"journal\":{\"name\":\"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMSCCS.2006.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMSCCS.2006.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Open Distributed Real-time Environment Based on Variable Utilization Server
This paper extends the environment for open distributed real-time systems, where hard or soft real-time applications may run concurrently with non-real-time applications. We replace the top-level improved constant utilization server scheduler of the open system architecture in with variable utilization server scheduler. The proposed open real-time environment in this paper allows tasks in each application to share local and global nonpreemptive resources, which accommodates a much broader spectrum of real-time applications. Additionally, the extended environment assigns CPU bandwidth to each server in a more flexible and more adaptive way. The evaluation results show the performance of the open system is also improved considerably