SCHEDULE: NOV 12-18, 2011

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Log Analysis for Fault Management in Large-scale Systems

SESSION: Doctoral Research Showcase (2 of 2)

EVENT TYPE: Doctoral Research Showcase

TIME: 4:15PM - 4:30PM

SESSION CHAIR: Volodymyr Kindratenko

Presenter(s):Ziming Zheng

ROOM:TCC LL1

ABSTRACT:
With the increasing scale and complexity of high performance computing (HPC) systems, reliability is becoming critical for these systems. System logs are the primary source of information to understand and analyze system problems. Nevertheless, manual log processing is time-consuming, errorprone, and not scalable. Currently little study has been done on automated log analysis for practical use in HPC systems. In this study, we present a log analysis infrastructure by exploiting data mining and statistical learning technologies. Our work can be broadly divided into four parts: log pre-processing, online failure prediction, automatic root cause diagnosis, and reliability modeling. We evaluate our preliminary results by means of system logs collected from production HPC systems. The work can greatly improve our understanding of faults and failures arising from hardware/software components and their interactions in HPC systems. It can further facilitate the resilience research for HPC systems.

Chair/Presenter Details:

Volodymyr Kindratenko (Chair) - NCSA

Ziming Zheng - Illinois Institute of Technology

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