提高实时软件可靠性的四种自适应算法的比较

T. Bihari, K. Schwan
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引用次数: 19

摘要

在大型并行实时计算机系统中,根据与每个子系统相关的可靠性需求和故障模型,在不同的粒度级别或不同的子系统中使用不同的软件可靠性技术(例如,重试、复制和资源分配算法)通常是最经济有效的。作者描述了通过RESAS(实时软件适应系统)将四种可靠性算法应用于在多处理器上执行的示例实时程序的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparison of four adaptation algorithms for increasing the reliability of real-time software
In a large, parallel, real-time computer system, it is frequently most cost-effective to use different software reliability techniques (e.g., retry, replication, and resource-allocation algorithms) at different levels of granularity or within different subsystems, dependent on the reliability requirements and fault models associated with each subsystem. The authors describe the results of applying four reliability algorithms, via RESAS (REal-time Software Adaptation System), to a sample real-time program executing on a multiprocessor.<>
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