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A Reliable Multi-Bus Fault-Tolerant Scheduling Algorithm Based on Variable Data Fragmentation

机译:基于可变数据分段的可靠多总线容错调度算法

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In this study, we propose an approach to build fault-tolerant distributed real-time embedded systems. From a given system description and a given fault hypothesis, we generate automatically a fault-tolerant distributed schedule based on GSFR of the source algorithm onto the target architecture which minimizes the system?s run-time and tolerates buses communication failures. The scheduling algorithm proposed is dedicated to multi-bus heterogeneous architectures with multiple processors linked by several shared buses. It is based on passive redundancy and variable data fragmentation strategies which allow fast fault detection/retransmission and efficient use of buses, the size of each fragmented data depends on GSFR and the bus failure rates, variable fragment size allows reliable communication and maximize the reliability of the system. As this scheduling problem is NP-hard, we use a heuristic algorithm to obtain an approximate efficiently solution and we are able to show with simulation results that our approach can generally reduce the run-time overhead.
机译:在这项研究中,我们提出了一种构建容错分布式实时嵌入式系统的方法。根据给定的系统描述和给定的故障假设,我们基于源算法的GSFR,自动将容错分布式时间表生成到目标体系结构上,从而最大限度地减少了系统的运行时间并容忍了总线通信故障。提出的调度算法专用于具有多个处理器的多总线异构体系结构,这些处理器由几个共享总线链接。它基于无源冗余和可变数据分段策略,可实现快速的故障检测/重传和总线的高效使用,每个分段数据的大小取决于GSFR和总线故障率,可变的分段大小可实现可靠的通信,并最大限度地提高可靠性。系统。由于此调度问题是NP难题,因此我们使用启发式算法来获得近似有效的解决方案,并且能够通过仿真结果证明我们的方法通常可以减少运行时开销。

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