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首页> 外文期刊>IEEE transactions on industrial informatics >Experimental Evaluation and Selection of Data Consistency Mechanisms for Hard Real-Time Applications on Multicore Platforms
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Experimental Evaluation and Selection of Data Consistency Mechanisms for Hard Real-Time Applications on Multicore Platforms

机译:多核平台上硬实时应用的数据一致性机制的实验评估和选择

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摘要

Multicore platforms are increasingly used in real-time embedded applications. In control systems, including automotive, avionics, and automation, resources shared by tasks on different cores need to be protected by mechanisms that guarantee access in a mutually exclusive way with bounded worst case blocking time. The evaluation of the tradeoffs among the possible protocols for mutual exclusion requires an estimate of their implementation overheads. In this paper, we summarize the possible protection mechanisms and provide code implementations in real-time operating systems executing on a multicore platform. We discuss the tradeoffs among the different mechanisms based on experimental evaluation of their memory and timing overheads as well as their impact on system schedulability. We propose a heuristic algorithm to select the optimal combination of mechanisms for shared resources in systems with time constraints to minimize their memory requirements. The effectiveness of the optimization procedure is demonstrated by synthetic systems as well as industrial case studies.
机译:多核平台越来越多地用于实时嵌入式应用程序中。在包括汽车,航空电子设备和自动化设备在内的控制系统中,不同内核上的任务共享的资源需要通过机制来保护,这些机制应保证以互斥的方式访问,并具有最坏的情况下的阻塞时间。对互斥的可能协议之间的折衷进行评估需要估算其实现开销。在本文中,我们总结了可能的保护机制,并提供了在多核平台上执行的实时操作系统中的代码实现。我们基于对它们的内存和时序开销以及它们对系统可调度性的影响的实验评估,讨论了不同机制之间的权衡。我们提出一种启发式算法,以选择具有时间限制的系统中共享资源的机制的最佳组合,以最大程度地减少其内存需求。综合系统和工业案例研究证明了优化程序的有效性。

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