{"title":"具有服务质量要求的实时能量收集系统的能量感知调度程序","authors":"M. Abdallah, M. Chetto, Audrey Queudet","doi":"10.1109/ICTEA.2012.6462898","DOIUrl":null,"url":null,"abstract":"Our study concerns energy harvesting embedded systems that have real-time constraints. We present two energy aware scheduling algorithms, namely Green-RTO and Green-BWP which aim to optimize the quality of service of the system measured in terms of deadline success ratio. Such algorithms permit to gracefully cope with processing overload and energy starvation. A simulation study permits to show their performance in comparison with the scheduling algorithm EDeg.","PeriodicalId":245530,"journal":{"name":"2012 2nd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Energy-aware schedulers for real-time energy harvesting systems with quality of service requirements\",\"authors\":\"M. Abdallah, M. Chetto, Audrey Queudet\",\"doi\":\"10.1109/ICTEA.2012.6462898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our study concerns energy harvesting embedded systems that have real-time constraints. We present two energy aware scheduling algorithms, namely Green-RTO and Green-BWP which aim to optimize the quality of service of the system measured in terms of deadline success ratio. Such algorithms permit to gracefully cope with processing overload and energy starvation. A simulation study permits to show their performance in comparison with the scheduling algorithm EDeg.\",\"PeriodicalId\":245530,\"journal\":{\"name\":\"2012 2nd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 2nd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTEA.2012.6462898\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 2nd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTEA.2012.6462898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy-aware schedulers for real-time energy harvesting systems with quality of service requirements
Our study concerns energy harvesting embedded systems that have real-time constraints. We present two energy aware scheduling algorithms, namely Green-RTO and Green-BWP which aim to optimize the quality of service of the system measured in terms of deadline success ratio. Such algorithms permit to gracefully cope with processing overload and energy starvation. A simulation study permits to show their performance in comparison with the scheduling algorithm EDeg.