{"title":"时间驱动调度处理器的实现与评价","authors":"J. W. Wendorf","doi":"10.1109/REAL.1988.51113","DOIUrl":null,"url":null,"abstract":"C.D. Locke developed a heuristic, best-effort (BE) time-driven scheduling policy (Ph.D. thesis, Dept. of Comput. Sci., Carnegie-Mellon Univ., (1986)) and demonstrated its superiority to simpler policies using extensive simulations. The author describes an implementation of Locke's BE policy that uses a dedicated scheduling processor to reduce the scheduling overhead significantly. The scheduler was implemented in the Mach operating system kernel, running on a VAX 11/784 multiprocessor. Experimental results under synthetic real-time processing loads of varying intensity show that the high computational overheads of the BE policy make it impractical on a uniprocessor system. Under heavy loads, over 80% of the processors's time can be spent in the scheduler, deciding which task to run next. Using the scheduling processor, less than 2% of the host processor's time is spent in the scheduler.<<ETX>>","PeriodicalId":116211,"journal":{"name":"Proceedings. Real-Time Systems Symposium","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Implementation and evaluation of a time-driven scheduling processor\",\"authors\":\"J. W. Wendorf\",\"doi\":\"10.1109/REAL.1988.51113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"C.D. Locke developed a heuristic, best-effort (BE) time-driven scheduling policy (Ph.D. thesis, Dept. of Comput. Sci., Carnegie-Mellon Univ., (1986)) and demonstrated its superiority to simpler policies using extensive simulations. The author describes an implementation of Locke's BE policy that uses a dedicated scheduling processor to reduce the scheduling overhead significantly. The scheduler was implemented in the Mach operating system kernel, running on a VAX 11/784 multiprocessor. Experimental results under synthetic real-time processing loads of varying intensity show that the high computational overheads of the BE policy make it impractical on a uniprocessor system. Under heavy loads, over 80% of the processors's time can be spent in the scheduler, deciding which task to run next. Using the scheduling processor, less than 2% of the host processor's time is spent in the scheduler.<<ETX>>\",\"PeriodicalId\":116211,\"journal\":{\"name\":\"Proceedings. Real-Time Systems Symposium\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Real-Time Systems Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/REAL.1988.51113\",\"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. Real-Time Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REAL.1988.51113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation and evaluation of a time-driven scheduling processor
C.D. Locke developed a heuristic, best-effort (BE) time-driven scheduling policy (Ph.D. thesis, Dept. of Comput. Sci., Carnegie-Mellon Univ., (1986)) and demonstrated its superiority to simpler policies using extensive simulations. The author describes an implementation of Locke's BE policy that uses a dedicated scheduling processor to reduce the scheduling overhead significantly. The scheduler was implemented in the Mach operating system kernel, running on a VAX 11/784 multiprocessor. Experimental results under synthetic real-time processing loads of varying intensity show that the high computational overheads of the BE policy make it impractical on a uniprocessor system. Under heavy loads, over 80% of the processors's time can be spent in the scheduler, deciding which task to run next. Using the scheduling processor, less than 2% of the host processor's time is spent in the scheduler.<>