.png){kind=icon}
.png){kind=icon}
Return
Schedulability Performance Improvement via Task Split in Real-Time Systems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.sysarc.2022.102613.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper, we focus on splitting a task into multiple sub-tasks to improve schedulability performance for a set of tasks subject to timing constraints. Targeting FPS (Fixed Priority Scheduling) as a scheduling algorithm and RTA (Response Time Analysis) as a schedulability analysis on a multiprocessor platform, we develop a systematic method to utilize the task split, which addresses (i) how to apply the task split without violating the timing requirement of the original tasks and (ii) how to apply each task so as to make an unschedulable task set to be schedulable. Our simulation results demonstrate that RTA with the method finds 16.1%-19.4% (on average) additional task sets that were not proven schedulable by the vanilla RTA.
Keywords:
Real-time systems
FPS (fixed priority scheduling)
RTA (Response Time Analysis)
Multiprocessor Platform
Journal
IF:
4.1
Papers:
3.0K
Citations:
4.2K