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An evolutionary algorithm for generalized comparison-based self-diagnosis of multiprocessor systems

机译:一种基于广义比较的多处理器系统自诊断的进化算法

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摘要

In this article, we consider the problem of self-diagnosis of multiprocessor and multicomputer systems under the generalized comparison model. In this approach, a system consists of a collection n independent heterogeneous processors (or units) interconnected via point-to-point communication links, and it is assumed that at most t of these processors are permanently faulty. For the purpose of diagnosis, system tasks are assigned to pairs of processors and the results are compared. The agreements and disagreements among units are the basis for identifying faulty processors.
机译:在本文中,我们考虑了广义比较模型下多处理器和多计算机系统的自诊断问题。在这种方法中,系统由通过点对点通信链路互连的n个独立的异构处理器(或单元)的集合组成,并且假定这些处理器中最多t个是永久性故障。为了进行诊断,将系统任务分配给处理器对,并对结果进行比较。单元之间的协议和分歧是识别故障处理器的基础。

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