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Research on Performance Anomaly Problems Diagnosis in Parallel File Systems

Author: DingZuo
Tutor: WangFang
School: Huazhong University of Science and Technology
Course: Computer System Architecture
Keywords: parellel file system performance anomaly problems diagnosed metrics collected peer-comparison
CLC: TP316.4
Type: Master's thesis
Year: 2013
Downloads: 3
Quote: 0
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Parallel file system can experience performance anomaly problems that can be hardto diagnose an isolate. Often, the most interesting and trickiest problems to trace are notnecessarily the outright crash (fail-stop) failures, but rather those that result in a“limping-but-alive” system, i.e., the system continues to operate, but with degradedperformance. Targeting the “limping-but-alive” problem diagnosis in parallel file systemsused for high performance cluster computing (HPC), puting forward a black-box method.By observing the behavior of stripe-based parallel file systems, find that they havesome characteristics in common. Under a performance anomaly in cluster, performancemetrics exhibit observable anomalous behavior on the culprit servers. Base on that, putingforward a diagnosis method by peer-comparison. This approach uses the Kullback-Leibler(Kl) divergence to compare the performance metrics of all the servers, then indicting thefaulty node. By further analysis, it can also find the root-cause.The method diagnoses different performance problems by identifying, gathering andanalyzing OS-level, back-box performance metrics on every node in the cluster. Usingpeer-comparison diagnosis approach compares the statistical attributes of these metricsacross I/O servers, to identify the anomalous node. This method avoids any modificationto the source codes by being transparent to applications. This approach works commonlyacross stripe-based parallel file system. And the approach has good accuracy.At last, the approach is demonstrated by injecting performance problems into the filesystem in both Capfs and Lustre clusters.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Operating system > Distributed operating systems, parallel -type operating system
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