Bounding Carry-in Interference to Improve Fixed-Priority Global Multiprocessor Scheduling Analysis

Author(s):  
Nan Guan ◽  
Meiling Han ◽  
Chuancai Gu ◽  
Qingxu Deng ◽  
Wang Yi



2009 ◽  
Vol 44 (1-3) ◽  
pp. 26-71 ◽  
Author(s):  
Hennadiy Leontyev ◽  
James H. Anderson


2018 ◽  
Vol 26 (0) ◽  
pp. 540-548
Author(s):  
Zhongqi Ma ◽  
Ryo Kurachi ◽  
Gang Zeng ◽  
Hiroaki Takada


2019 ◽  
Vol 28 (12) ◽  
pp. 1950210
Author(s):  
Tao Yang ◽  
Qingxu Deng

In the field of real-time multiprocessor scheduling, researchers have found that global scheduling on average results in better resource utilization than partitioned scheduling, and is more robust in the presence of timing errors. In this paper, we present a global scheduling algorithm JPA with Job-level Priority Assignment for sporadic task systems that can be viewed as a generalization of both FPS and EDF. We also introduce JPA's efficient variant, which greatly reduces the runtime overhead comparing with JPA. As will be shown by the experiments, JPA indeed exhibits much better performance than the state-of-the-art multiprocessor scheduling/analysis techniques based on FPS and EDF.



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