{"title":"Power-aware scheduling and dynamic voltage setting for tasks running on a hard real-time system","authors":"Peng Rong, Massoud Pedram","doi":"10.1145/1118299.1118416","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of minimizing energy consumption of a computer system performing periodic hard real-time tasks with precedence constraints. In the proposed approach, dynamic power management and voltage scaling techniques are combined to reduce the energy consumption of the CPU and devices. The optimization problem is first formulated as an integer programming problem. Next, a three-phase solution framework, which integrates power management scheduling and task voltage assignment, is proposed. Experimental results show that the proposed approach outperforms existing methods by an average of 18% in terms of the system-wide energy savings.","PeriodicalId":413969,"journal":{"name":"Asia and South Pacific Conference on Design Automation, 2006.","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"65","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia and South Pacific Conference on Design Automation, 2006.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1118299.1118416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 65
Abstract
This paper addresses the problem of minimizing energy consumption of a computer system performing periodic hard real-time tasks with precedence constraints. In the proposed approach, dynamic power management and voltage scaling techniques are combined to reduce the energy consumption of the CPU and devices. The optimization problem is first formulated as an integer programming problem. Next, a three-phase solution framework, which integrates power management scheduling and task voltage assignment, is proposed. Experimental results show that the proposed approach outperforms existing methods by an average of 18% in terms of the system-wide energy savings.