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基于G-EDF的DAG并行任务多核响应时间分析
引用本文:韩美灵,邓庆绪,张天宇,林宇晗. 基于G-EDF的DAG并行任务多核响应时间分析[J]. 东北大学学报(自然科学版), 2019, 40(3): 315-320. DOI: 10.12068/j.issn.1005-3026.2019.03.003
作者姓名:韩美灵  邓庆绪  张天宇  林宇晗
作者单位:东北大学 计算机科学与工程学院,辽宁 沈阳,110169;东北大学 计算机科学与工程学院,辽宁 沈阳,110169;东北大学 计算机科学与工程学院,辽宁 沈阳,110169;东北大学 计算机科学与工程学院,辽宁 沈阳,110169
基金项目:国家自然科学基金资助项目(61472072,61528202); 辽宁重大装备制造协同创新中心资助项目.
摘    要:由于未考虑DAG(directed acyclic graph)任务的自身结构, 基于G-EDF(global earliest deadline first)的DAG并行任务模型的可调度性分析存在很大的悲观性,因此本文针对DAG任务集在多处理器系统中采用G-EDF调度策略下的响应时间分析进行了研究.首先针对carry-in任务实例执行的情况提出更加精确的carry-in工作量估算方法.基于该carry-in工作量估算方法提出一种基于完成时间的问题窗口工作量估算方法.最后,结合上述两个改进策略提出了基于G-EDF的DAG任务响应时间分析方法.仿真实验表明,所提出的方法较目前已知的调度策略方法可调度性至少提高15%,最高可达25%.

关 键 词:嵌入式实时系统  多核处理器  并行任务模型  全局调度  响应时间分析
收稿时间:2018-01-22
修稿时间:2018-01-22

Response Time Analysis of Multiprocessor Systems for DAG Parallel Tasks Based on G-EDF
HAN Mei-ling,DENG Qing-xu,ZHANG Tian-yu,LIN Yu-han. Response Time Analysis of Multiprocessor Systems for DAG Parallel Tasks Based on G-EDF[J]. Journal of Northeastern University(Natural Science), 2019, 40(3): 315-320. DOI: 10.12068/j.issn.1005-3026.2019.03.003
Authors:HAN Mei-ling  DENG Qing-xu  ZHANG Tian-yu  LIN Yu-han
Affiliation:School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
Abstract:Since the self-structure of the DAG(directed acyclic graph)task is not considered, the schedulability analysis of the DAG parallel task model based on G-EDF(global earliest deadline first)is very pessimistic. The response time analysis of the DAG task set under the G-EDF scheduling strategy in multiprocessor systems was studied in this paper. First, a more accurate carry-in workload estimation method was proposed for the execution of the carry-in task instance. Then a method for estimating the problem window workload of completion time was put forward based on the carry-in workload estimation method. Based on the two proposed methods, this paper proposed a response time analyzing method to derive a response time upper bound of each task. The experiments show that the proposed method outperforms the state-of-the-art method by at least 15% and at most 25%.
Keywords:embedded real-time systems  multiprocessors  parallel tasks model  global scheduling  response time analysis  
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