{"title":"正在进行的工作:通过改变偏移量减少静态优先级任务集的响应时间","authors":"Aaron Wong, A. Cheng","doi":"10.1109/RTSS46320.2019.00072","DOIUrl":null,"url":null,"abstract":"The goal of this research is to reduce the maximum response time of tasks within a task set by introducing offsets. In this research, we propose an iterative method to determine the best offset for a given task. This method iterates through a set of tasks starting with the task having the highest priority to determine which offset gives the shortest maximum response time. Reducing the maximum response time can lead to a more efficient system and avoids over-provisioning of hardware resources.","PeriodicalId":102892,"journal":{"name":"2019 IEEE Real-Time Systems Symposium (RTSS)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Work-in-Progress: Reducing Response Time of Static Priority Task Sets by Varying Offsets\",\"authors\":\"Aaron Wong, A. Cheng\",\"doi\":\"10.1109/RTSS46320.2019.00072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of this research is to reduce the maximum response time of tasks within a task set by introducing offsets. In this research, we propose an iterative method to determine the best offset for a given task. This method iterates through a set of tasks starting with the task having the highest priority to determine which offset gives the shortest maximum response time. Reducing the maximum response time can lead to a more efficient system and avoids over-provisioning of hardware resources.\",\"PeriodicalId\":102892,\"journal\":{\"name\":\"2019 IEEE Real-Time Systems Symposium (RTSS)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Real-Time Systems Symposium (RTSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTSS46320.2019.00072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Real-Time Systems Symposium (RTSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSS46320.2019.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Work-in-Progress: Reducing Response Time of Static Priority Task Sets by Varying Offsets
The goal of this research is to reduce the maximum response time of tasks within a task set by introducing offsets. In this research, we propose an iterative method to determine the best offset for a given task. This method iterates through a set of tasks starting with the task having the highest priority to determine which offset gives the shortest maximum response time. Reducing the maximum response time can lead to a more efficient system and avoids over-provisioning of hardware resources.
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