{"title":"在制品:实时系统分析与设计的资源感知优化模型","authors":"Rezwana Mamata, Akramul Azim","doi":"10.1109/EMSOFT55006.2022.00012","DOIUrl":null,"url":null,"abstract":"Real-time embedded systems require sufficient re-sources to meet the application’s requirements. This often creates over-provisioning of resources, increasing the unused resources and overall costs. Determining optimal resource supply is essential to avoid over-resource provisioning. Existing research works lack consideration of finding the optimized supply of resources to meet the workload demand during any time intervals. Therefore, we propose a resource-aware optimization model to minimize the resource provision in any periodic task model. The proposed approach exploits the supply and demand bound functions to reduce resource over-provisioning while guaranteeing task deadlines. The preliminary experimental results show the benefits of our proposed approach for enhancing resource usage.","PeriodicalId":371537,"journal":{"name":"2022 International Conference on Embedded Software (EMSOFT)","volume":"68 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Work-in-Progress: A Resource-Aware Optimization Model for Real-Time Systems Analysis and Design\",\"authors\":\"Rezwana Mamata, Akramul Azim\",\"doi\":\"10.1109/EMSOFT55006.2022.00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Real-time embedded systems require sufficient re-sources to meet the application’s requirements. This often creates over-provisioning of resources, increasing the unused resources and overall costs. Determining optimal resource supply is essential to avoid over-resource provisioning. Existing research works lack consideration of finding the optimized supply of resources to meet the workload demand during any time intervals. Therefore, we propose a resource-aware optimization model to minimize the resource provision in any periodic task model. The proposed approach exploits the supply and demand bound functions to reduce resource over-provisioning while guaranteeing task deadlines. The preliminary experimental results show the benefits of our proposed approach for enhancing resource usage.\",\"PeriodicalId\":371537,\"journal\":{\"name\":\"2022 International Conference on Embedded Software (EMSOFT)\",\"volume\":\"68 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Embedded Software (EMSOFT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMSOFT55006.2022.00012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Embedded Software (EMSOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMSOFT55006.2022.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Work-in-Progress: A Resource-Aware Optimization Model for Real-Time Systems Analysis and Design
Real-time embedded systems require sufficient re-sources to meet the application’s requirements. This often creates over-provisioning of resources, increasing the unused resources and overall costs. Determining optimal resource supply is essential to avoid over-resource provisioning. Existing research works lack consideration of finding the optimized supply of resources to meet the workload demand during any time intervals. Therefore, we propose a resource-aware optimization model to minimize the resource provision in any periodic task model. The proposed approach exploits the supply and demand bound functions to reduce resource over-provisioning while guaranteeing task deadlines. The preliminary experimental results show the benefits of our proposed approach for enhancing resource usage.