AgamottoEye: Recovering Request Flow for Cloud Systems via Log Analysis

Jie Lu (SKL of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China)
Feng Li (Institute of Information Engineering, Chinese Academy of Sciences, China)
Lian Li (SKL of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China)

Article ID: 1239

Abstract


Cloud applications are implemented on top of different distributed systems to provide online service. A service request is decomposed into multiple sub-tasks, which are dispatched to different distributed systems components. For cloud providers, monitoring the execution of a service request is crucial to promptly find problems that may compromise cloud availability. In this paper, we present AgamottoEye, to automatically construct request flow from existing logs. AgamottoEye addresses the challenges of analyzing interleaved log instances, and can successfully extract request flow spread across multiple distributed systems. Our experiments with Hadoop2/YARN show that AgamottoEye can analyze 25,050 log instances in 57.4s, and the extracted request flow information is helpful with error detection and diagnosis.


Keywords


Cloud applications;Log analysis;Request flow

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DOI: https://doi.org/10.30564/jcsr.v1i2.1239

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