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| 1 | SET-MRTS:一种多处理器实时系统可调度性实验平台显示文摘近年来,随着实时调度研究的快速发展,可调度性实验的复杂性随之增加,然而,由于缺乏标准化、模块化的可调度性实验工具,研究者往往需要耗费大量时间进行实验;此外,由于实验源码不能公开获得,使得实验结果难以验证,实验代码难以重用与扩展。针对可调度性实验重复工作量大、难以验证的问题,提出一种可调度性实验基础框架。该框架通过随机分布产生任务系统集合,并测试其可调度性,基于该框架设计并实现了一个新的可调度性实验开源平台——SET-MRTS。该平台采用模块化架构设计了任务模块、处理器模块、共享资源模块、算法库、配置解析模块以及输出模块。实验结果表明,SET-MRTS支持单/多处理器实时调度算法和实时同步协议分析,能够正确地进行可调度性对比实验,输出直观的实验结果,并且支持算法库的扩充,与算法库中已实现的算法进行对比实验,具有良好的兼容性与可扩展性。SET-MRTS是第一个支持完整实验流程,包括算法实现、参数配置、结果统计、图表绘制等的可调度性实验开源平台。 | 陈泽玮 杨茂林 雷航 廖勇 谢玮 | 2017 | 计算机应用2017，37，5： | 3 |
| 2 | Improved Task and Resource Partitioning Under the Resource-Oriented Partitioned Scheduling显示文摘Coordinated partitioning and resource sharing have attracted considerable research interest in the field of real-time multiprocessor systems.However,finding an optimal partition is widely known as NP-hard,even for independent tasks.A recently proposed resource-oriented partitioned(ROP)fixed-priority scheduling that partitions tasks and shared resources respectively has been shown to achieve a non-trivial speedup factor guarantee,which promotes the research of coordinated scheduling to a new level.Despite the theoretical elegance,the schedulability performance of ROP scheduling is restricted by the heuristic partitioning methods used in the original study.In this paper,we address the partitioning problem for tasks and shared resources under the ROP scheduling.A unified schedulability analysis framework for the ROP scheduling is proposed in the first place.A sophisticated partitioning approach based on integer linear programming(ILP)is then proposed based on the unified analysis.Empirical results show that the proposed methods improve the schedulability of ROP scheduling significantly,and the runtime complexity for searching a solution is reduced prominently compared with other ILP-based approaches as well. | Ze-Wei Chen Hang Lei Mao-Lin Yang Yong Liao Jia-Li Yu | 2019 | Journal of Computer Science & Technology2019，34，4： | 0 |
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