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Volumn 44, Issue 1, 2010, Pages 91-96

Mining dependency in distributed systems through unstructured logs analysis

Author keywords

Cooccurrence analysis; Dependency graph; Log analysis; Root error localization

Indexed keywords

APPLICATION-SPECIFIC KNOWLEDGE; BAYESIAN DECISION THEORY; BELONG TO; CO-OCCURRENCE ANALYSIS; DEPENDENCY GRAPHS; DISTRIBUTED SYSTEMS; FALSE POSITIVE DETECTION; INTER-COMPONENT DEPENDENCIES; LOG ANALYSIS; ROOT ERROR LOCALIZATION; SYSTEM COMPONENTS;

EID: 77958132122     PISSN: 01635980     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1740390.1740411     Document Type: Article
Times cited : (65)

References (14)
  • 2
    • 66549111364 scopus 로고    scopus 로고
    • Automating network application dependency discovery: Experiences, limitations, and new solutions
    • X. Chen, M. Zhang, Z. M. Mao, and P. Bahl, "Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions", USENIX OSDI'08, 2008.
    • (2008) USENIX OSDI'08
    • Chen, X.1    Zhang, M.2    Mao, Z.M.3    Bahl, P.4
  • 5
    • 70849095357 scopus 로고    scopus 로고
    • What's going on? Learning communication rules in edge networks
    • S. Kandula, R. Chandra, and D. Katabi, "What's Going On? Learning Communication Rules in Edge Networks", SIGCOMM'08, 2008.
    • (2008) SIGCOMM'08
    • Kandula, S.1    Chandra, R.2    Katabi, D.3
  • 6
    • 36949029788 scopus 로고    scopus 로고
    • Towards highly reliable enterprise network services via inference of multi-level dependencies
    • V. Bahl, R. Chandra, A. Greenberg, S. Kandula, D. A. Maltz, M. Zhang, "Towards Highly Reliable Enterprise Network Services Via Inference of Multi-level Dependencies", SIGCOMM'07, 2007.
    • (2007) SIGCOMM'07
    • Bahl, V.1    Chandra, R.2    Greenberg, A.3    Kandula, S.4    Maltz, D.A.5    Zhang, M.6
  • 10
    • 77958119568 scopus 로고    scopus 로고
    • Hadoop. http://hadoop. apache.org/core.
    • Hadoop
  • 13
    • 77951157255 scopus 로고    scopus 로고
    • Execution anomaly detection in distributed systems through unstructured log analysis
    • Q. Fu, J.-G. Lou, Y. Wang, and J. Li, "Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis", submitted to ICDM'09.
    • Submitted to ICDM'09
    • Fu, Q.1    Lou, J.-G.2    Wang, Y.3    Li, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.