{"title":"弱硬实时系统能源优化调度的ILP框架:在制品","authors":"Niraj Kumar, Jaishree Mayank, Arijit Mondal","doi":"10.1145/3349568.3351546","DOIUrl":null,"url":null,"abstract":"In this work, we propose an integer linear programming (ILP) model to schedule a set of weakly-hard real-time tasks on a heterogeneous multiprocessor system to minimize energy consumption with the predictable performance. The ILP model provides an optimal solution in terms of energy consumption by selecting the appropriate frequency for each task with (m,k) weakly-hard deadline constraint.","PeriodicalId":233835,"journal":{"name":"Proceedings of the International Conference on Embedded Software Companion","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An ILP framework for energy optimized scheduling for weakly-hard real-time systems: work-in-progress\",\"authors\":\"Niraj Kumar, Jaishree Mayank, Arijit Mondal\",\"doi\":\"10.1145/3349568.3351546\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we propose an integer linear programming (ILP) model to schedule a set of weakly-hard real-time tasks on a heterogeneous multiprocessor system to minimize energy consumption with the predictable performance. The ILP model provides an optimal solution in terms of energy consumption by selecting the appropriate frequency for each task with (m,k) weakly-hard deadline constraint.\",\"PeriodicalId\":233835,\"journal\":{\"name\":\"Proceedings of the International Conference on Embedded Software Companion\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Embedded Software Companion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3349568.3351546\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Embedded Software Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3349568.3351546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An ILP framework for energy optimized scheduling for weakly-hard real-time systems: work-in-progress
In this work, we propose an integer linear programming (ILP) model to schedule a set of weakly-hard real-time tasks on a heterogeneous multiprocessor system to minimize energy consumption with the predictable performance. The ILP model provides an optimal solution in terms of energy consumption by selecting the appropriate frequency for each task with (m,k) weakly-hard deadline constraint.
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