{"title":"无抢占队列调度的设计与时序保证","authors":"Seong-U Lee, Nan Guan, Jinkyu Lee","doi":"10.1109/RTSS55097.2022.00021","DOIUrl":null,"url":null,"abstract":"Due to its efficient and predictable utilization of modern computing units, recent studies have paid attention to gang scheduling in which all threads of a real-time task should be concurrently executed on different processors. However, the studies have been biased to preemptive gang scheduling, although non-preemptive gang scheduling (NPG) is practical for inherently non-preemptive tasks and tasks that incur large preemption overhead. In this paper, focusing on a new type of priority-inversion incurred by NPG, we design a generalized NPG framework, called NPG*, under which each task has an option to allow or disallow the situation that incurs the priority-inversion specialized for NPG. To demonstrate the effectiveness of NPG* in terms of timing guarantees, we target NPG*-FP by employing fixed-priority scheduling (FP) as a prioritization policy, and develop the first NPG*-FP schedulability test and its improved version under a given assignment of the allowance/disallowance option to each task. We then develop the optimal allowance/disallowance assignment algorithm, which finds an assignment (if exists) that makes a target task set schedulable by the proposed schedulability tests. Via simulations, we demonstrate that the assignment algorithm associated with the schedulability tests for NPG*-FP can find a number of additional schedulable task sets, each of which has not been covered by the traditional NPG framework.","PeriodicalId":202402,"journal":{"name":"2022 IEEE Real-Time Systems Symposium (RTSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design and Timing Guarantee for Non-Preemptive Gang Scheduling\",\"authors\":\"Seong-U Lee, Nan Guan, Jinkyu Lee\",\"doi\":\"10.1109/RTSS55097.2022.00021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to its efficient and predictable utilization of modern computing units, recent studies have paid attention to gang scheduling in which all threads of a real-time task should be concurrently executed on different processors. However, the studies have been biased to preemptive gang scheduling, although non-preemptive gang scheduling (NPG) is practical for inherently non-preemptive tasks and tasks that incur large preemption overhead. In this paper, focusing on a new type of priority-inversion incurred by NPG, we design a generalized NPG framework, called NPG*, under which each task has an option to allow or disallow the situation that incurs the priority-inversion specialized for NPG. To demonstrate the effectiveness of NPG* in terms of timing guarantees, we target NPG*-FP by employing fixed-priority scheduling (FP) as a prioritization policy, and develop the first NPG*-FP schedulability test and its improved version under a given assignment of the allowance/disallowance option to each task. We then develop the optimal allowance/disallowance assignment algorithm, which finds an assignment (if exists) that makes a target task set schedulable by the proposed schedulability tests. Via simulations, we demonstrate that the assignment algorithm associated with the schedulability tests for NPG*-FP can find a number of additional schedulable task sets, each of which has not been covered by the traditional NPG framework.\",\"PeriodicalId\":202402,\"journal\":{\"name\":\"2022 IEEE Real-Time Systems Symposium (RTSS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Real-Time Systems Symposium (RTSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTSS55097.2022.00021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Real-Time Systems Symposium (RTSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSS55097.2022.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Timing Guarantee for Non-Preemptive Gang Scheduling
Due to its efficient and predictable utilization of modern computing units, recent studies have paid attention to gang scheduling in which all threads of a real-time task should be concurrently executed on different processors. However, the studies have been biased to preemptive gang scheduling, although non-preemptive gang scheduling (NPG) is practical for inherently non-preemptive tasks and tasks that incur large preemption overhead. In this paper, focusing on a new type of priority-inversion incurred by NPG, we design a generalized NPG framework, called NPG*, under which each task has an option to allow or disallow the situation that incurs the priority-inversion specialized for NPG. To demonstrate the effectiveness of NPG* in terms of timing guarantees, we target NPG*-FP by employing fixed-priority scheduling (FP) as a prioritization policy, and develop the first NPG*-FP schedulability test and its improved version under a given assignment of the allowance/disallowance option to each task. We then develop the optimal allowance/disallowance assignment algorithm, which finds an assignment (if exists) that makes a target task set schedulable by the proposed schedulability tests. Via simulations, we demonstrate that the assignment algorithm associated with the schedulability tests for NPG*-FP can find a number of additional schedulable task sets, each of which has not been covered by the traditional NPG framework.