{"title":"A-S算法:一种统一多处理器在线实时调度优化算法","authors":"Luo Xiaojian, Long Xiang","doi":"10.1109/CIACT.2017.7977348","DOIUrl":null,"url":null,"abstract":"Scheduling periodic real-time tasks upon uniform multiprocessors is studied in this paper. We propose an optimal scheduling algorithm on uniform multiprocessors, named A-S algorithm, which achieves on-line scheduling as PCG[5] algorithm. PCG assigns task with largest local remaining time to fastest idle processor when rescheduling, which incurs great context switches between consecutive rescheduling. A-S keeps as many processors' assignments unchanged as possible at rescheduling points through a greed algorithm. The resulting A-S schedule can reduce preemptions and migrations dramatically (90.8% and 87.5% at most, respectively) when compared to those of PCG schedules.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A-S algorithm: An optimal on-line real-time scheduling algorithm for uniform multiprocessors\",\"authors\":\"Luo Xiaojian, Long Xiang\",\"doi\":\"10.1109/CIACT.2017.7977348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scheduling periodic real-time tasks upon uniform multiprocessors is studied in this paper. We propose an optimal scheduling algorithm on uniform multiprocessors, named A-S algorithm, which achieves on-line scheduling as PCG[5] algorithm. PCG assigns task with largest local remaining time to fastest idle processor when rescheduling, which incurs great context switches between consecutive rescheduling. A-S keeps as many processors' assignments unchanged as possible at rescheduling points through a greed algorithm. The resulting A-S schedule can reduce preemptions and migrations dramatically (90.8% and 87.5% at most, respectively) when compared to those of PCG schedules.\",\"PeriodicalId\":218079,\"journal\":{\"name\":\"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIACT.2017.7977348\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIACT.2017.7977348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A-S algorithm: An optimal on-line real-time scheduling algorithm for uniform multiprocessors
Scheduling periodic real-time tasks upon uniform multiprocessors is studied in this paper. We propose an optimal scheduling algorithm on uniform multiprocessors, named A-S algorithm, which achieves on-line scheduling as PCG[5] algorithm. PCG assigns task with largest local remaining time to fastest idle processor when rescheduling, which incurs great context switches between consecutive rescheduling. A-S keeps as many processors' assignments unchanged as possible at rescheduling points through a greed algorithm. The resulting A-S schedule can reduce preemptions and migrations dramatically (90.8% and 87.5% at most, respectively) when compared to those of PCG schedules.