Safe and automatic live update for operating systems
Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems
Reliability analysis reloaded: how will we survive?
Proceedings of the Conference on Design, Automation and Test in Europe
Quantitative evaluation of soft error injection techniques for robust system design
Proceedings of the 50th Annual Design Automation Conference
Back to the future: fault-tolerant live update with time-traveling state transfer
LISA'13 Proceedings of the 27th international conference on Large Installation System Administration
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This paper proposes a novel technique for preventing a wide range of data errors from corrupting the execution of applications. The proposed technique enables automated derivation of fine-grained, application-specific error detectors based on dynamic traces of application execution. The technique derives a set of error detectors using rule-based templates to maximize the error detection coverage for the application. A probability model is developed to guide the choice of the templates and their parameters for error-detection. The paper also presents an automatic framework for synthesizing the set of detectors in hardware to enable low-overhead, runtime checking of the application. The coverage of the derived detectors is evaluated using fault-injection experiments, while the performance and area overheads of the detectors are evaluated by synthesizing them on reconfigurable hardware.