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Analysis of the effects of soft errors on compression algorithms through fault injection inside program variables

机译:通过程序变量内部的故障注入分析​​软错误对压缩算法的影响

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Data logging applications, such as those deployed in satellite launchers to acquire telemetry data, may require compression algorithms to cope with large amounts of data as well as limited storage and communication capabilities. When commercial-off-the-shelf hardware components are used to implement such applications, radiation-induced soft errors may occur, especially during the last stages of the launcher cruise, potentially affecting the algorithm execution. The purpose of this work is to analyze two compression algorithms using fault injection to evaluate their robustness against soft errors. The main contribution of the work is the analysis of the compression algorithm susceptibility by attacking their data structures (also referred as program variables) rather than the memory elements of the computing platform in charge of the algorithm execution. This approach is agnostic of the downstream implementation details. Instead, the intrinsic robustness of compression algorithms can be evaluated quickly, and system-level decisions can be taken before the computing platform is finalized.
机译:诸如部署在卫星发射器中以获取遥测数据的数据记录应用程序,可能需要压缩算法来处理大量数据以及有限的存储和通信功能。当使用现成的商用硬件组件来实现此类应用程序时,可能会发生辐射引起的软错误,尤其是在发射器巡航的最后阶段,可能会影响算法的执行。这项工作的目的是分析使用故障注入的两种压缩算法,以评估其针对软错误的鲁棒性。这项工作的主要贡献是通过攻击压缩数据的数据结构(也称为程序变量)而不是负责算法执行的计算平台的存储元素来分析压缩算法的敏感性。此方法与下游实施细节无关。相反,可以快速评估压缩算法的内在鲁棒性,并且可以在最终确定计算平台之前做出系统级决策。

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