{"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}
引用次数: 4
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