Allocation of Real-Time Tasks onto Identical Core Platforms under Deferred fixed Preemption-Point Model
RTNS 2020: 28th International Conference on Real-Time Networks and Systems Paris France June, 2020(2020)
摘要
Deferred-preemption model has been proposed as a compromise between fully preemptive and non-preemptive systems: on one hand they reduce the cache related preemption delays; on the other hand they introduce a small blocking time to higher priority tasks. In this paper, we investigate the problem of allocating a set of real-time tasks with fixed-preemption points onto an identical multi-core platform.
We first propose enumerative and branch-and-bound optimal algorithms, along with techniques to reduce their execution time. Further, we propose a set of heuristics to solve the same problem. We demonstrate the performances of the proposed approaches by the means of a large set of synthetic experiments.
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要