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System- and application-level failures could be characterized by analyzing relevant log files. The resulting data might then be used in numerous studies on and future developments for the mission-critical and large scale computational architecture, including fields such as failure prediction, reliability modeling, performance modeling and power awareness.(More)
One predominant barrier encountered in furthering research and development efforts aimed at facilitating resilient HPC applications is a substantial lack of existing reliability and performance data originating from extreme-scale computing distributions. In order to develop an understanding of how and why highly scaled HPC applications are encountering(More)
Rejuvenation is a technique expected to mitigate failures in HPC systems by replacing, repairing, or resetting system components. Because of the small overhead required by software rejuvenation, we primarily focus on OS/kernel rejuvenation. In this paper, we propose three rejuvenation scheduling techniques. Moreover, we investigate the claim that software(More)
The number of failures occurring in large-scale high performance computing (HPC) systems is significantly increasing due to the large number of physical components found on the system. Fault tolerance (FT) mechanisms help parallel applications mitigate the impact of failures. However, using such mechanisms requires additional overhead. As such, failure(More)
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