{"title":"多资源服务器的组合分析","authors":"R. Inam, M. Behnam, Thomas Nolte, Mikael Sjödin","doi":"10.1109/ETFA.2015.7301431","DOIUrl":null,"url":null,"abstract":"The Multi-Resource Server (MRS) technique has been proposed to enable predictable execution of memory intensive real-time applications on COTS multi-core platforms. It uses resource reservation approaches in the context of CPU-bandwidth and memory-bus bandwidth reservations to bound the interference between the applications running on the same core as well as between the applications running on different cores. In this paper we present a complete composable local and global schedulability analysis for the Multi-Resource Server technique. Based on the proposed analysis, we further provide an experimental study that investigates the behaviour of the MRS and identifies the factors that contribute mostly on the overall system performance.","PeriodicalId":6862,"journal":{"name":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"221 1","pages":"1-10"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Compositional analysis for the Multi-Resource Server\",\"authors\":\"R. Inam, M. Behnam, Thomas Nolte, Mikael Sjödin\",\"doi\":\"10.1109/ETFA.2015.7301431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Multi-Resource Server (MRS) technique has been proposed to enable predictable execution of memory intensive real-time applications on COTS multi-core platforms. It uses resource reservation approaches in the context of CPU-bandwidth and memory-bus bandwidth reservations to bound the interference between the applications running on the same core as well as between the applications running on different cores. In this paper we present a complete composable local and global schedulability analysis for the Multi-Resource Server technique. Based on the proposed analysis, we further provide an experimental study that investigates the behaviour of the MRS and identifies the factors that contribute mostly on the overall system performance.\",\"PeriodicalId\":6862,\"journal\":{\"name\":\"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"volume\":\"221 1\",\"pages\":\"1-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2015.7301431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2015.7301431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compositional analysis for the Multi-Resource Server
The Multi-Resource Server (MRS) technique has been proposed to enable predictable execution of memory intensive real-time applications on COTS multi-core platforms. It uses resource reservation approaches in the context of CPU-bandwidth and memory-bus bandwidth reservations to bound the interference between the applications running on the same core as well as between the applications running on different cores. In this paper we present a complete composable local and global schedulability analysis for the Multi-Resource Server technique. Based on the proposed analysis, we further provide an experimental study that investigates the behaviour of the MRS and identifies the factors that contribute mostly on the overall system performance.
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