{"title":"优先级驱动系统中周期性和非周期性任务的动态电压缩放","authors":"Dongkun Shin, Jihong Kim","doi":"10.1109/ASPDAC.2004.1337673","DOIUrl":null,"url":null,"abstract":"We describe dynamic voltage scaling (DVS) algorithms for real-time systems with both periodic and aperiodic tasks. Although many DVS algorithms have been developed for real-time systems with periodic tasks, none of them can he used for the system with both periodic and aperiodic tasks because of arbitrary temporal hehaviors of aperiodic tasks. We propose an off-line DVS algorithm and on-line DVS algorithms that are based on existing DVS algorithms. The proposed algorithms utilize the execution behaviors of scheduling server for aperiodic tasks. Experimental results show that the proposed algorithms reduce the energy consumption by 12% and 32% under the RM scheduling policy and the EDF scheduling policy, respectively.","PeriodicalId":426349,"journal":{"name":"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":"{\"title\":\"Dynamic voltage scaling of periodic and aperiodic tasks in priority-driven systems\",\"authors\":\"Dongkun Shin, Jihong Kim\",\"doi\":\"10.1109/ASPDAC.2004.1337673\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe dynamic voltage scaling (DVS) algorithms for real-time systems with both periodic and aperiodic tasks. Although many DVS algorithms have been developed for real-time systems with periodic tasks, none of them can he used for the system with both periodic and aperiodic tasks because of arbitrary temporal hehaviors of aperiodic tasks. We propose an off-line DVS algorithm and on-line DVS algorithms that are based on existing DVS algorithms. The proposed algorithms utilize the execution behaviors of scheduling server for aperiodic tasks. Experimental results show that the proposed algorithms reduce the energy consumption by 12% and 32% under the RM scheduling policy and the EDF scheduling policy, respectively.\",\"PeriodicalId\":426349,\"journal\":{\"name\":\"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPDAC.2004.1337673\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2004.1337673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic voltage scaling of periodic and aperiodic tasks in priority-driven systems
We describe dynamic voltage scaling (DVS) algorithms for real-time systems with both periodic and aperiodic tasks. Although many DVS algorithms have been developed for real-time systems with periodic tasks, none of them can he used for the system with both periodic and aperiodic tasks because of arbitrary temporal hehaviors of aperiodic tasks. We propose an off-line DVS algorithm and on-line DVS algorithms that are based on existing DVS algorithms. The proposed algorithms utilize the execution behaviors of scheduling server for aperiodic tasks. Experimental results show that the proposed algorithms reduce the energy consumption by 12% and 32% under the RM scheduling policy and the EDF scheduling policy, respectively.