Data processing: artificial intelligence – Miscellaneous
Reexamination Certificate
2007-10-17
2011-12-06
Rivas, Omar Fernandez (Department: 2122)
Data processing: artificial intelligence
Miscellaneous
C706S045000, C706S046000, C706S047000, C706S048000, C706S052000, C709S224000, C709S225000, C709S226000
Reexamination Certificate
active
08073806
ABSTRACT:
A technique is disclosed that enables the run-time behavior of a data-processing system to be analyzed and, in many cases, to be predicted. In particular, the illustrative embodiment of the present invention comprises i) transforming the messages that constitute an unstructured log into a numerical series and ii) applying a time-series analysis on the resultant series for the purpose of pattern detection. Indeed, it is recognized in the illustrative embodiment that the problem really is to detect patterns that depict aspects of system behavior, regardless of the textual content of the individual log messages. In other words, by analyzing the totality of the messages in the log or logs—as opposed to looking for pre-defined patterns of the individual messages—system behavior can be mapped and understood. The mapping helps in characterizing the system for the purposes of predicting failure, determining the time required to reach stability during failure recovery, and so forth.
REFERENCES:
patent: 7689610 (2010-03-01), Bansal et al.
patent: 7788536 (2010-08-01), Qureshi et al.
patent: 2005/0038888 (2005-02-01), Labertz
patent: 2005/0114508 (2005-05-01), DeStefano
patent: 2007/0088972 (2007-04-01), Srivastava et al.
patent: 2007/0283194 (2007-12-01), Villella et al.
patent: 2008/0104062 (2008-05-01), Oliver et al.
patent: 2008/0134209 (2008-06-01), Bansal et al.
“Levenshtein distance”, “http://en.wikipedia.org/w/index.php?title=Levenshtein—distance&printabl”, Mar. 23, 2009, Publisher: Wikimedia Foundation, Inc., Published in: US, 5 pages.
Mat-Hassan, Mazllta et al, Associating Search and Navigation Behavior Through Log Analysis, Journal of the American Society for Information Science and Technology, 2005 Wiley Periodicals, Inc., Published online Apr. 25, 2005 in Wiley InterScience (www.interscience.wiley.com), pp. 913-934.
Yamanishi, Kenji et al, Dynamic Syslog Mining for Network Failure Monitoring, KDD '05, Aug. 21-24, 2005, Chicago, Illinois, USA, 10 pages.
Levy, Dorron et al, Early Warning of Failures through Alarm Analysis—A Case Study in Telecom Voice Mail Systems, IEEE International Symposium on Software Reliability Engineering (ISSRE 2003) Denver, CO, Nov. 17-20, 2003, pp. 1-10.
Lee, Inhwan et al, Error/Failure Analysis Using Event Logs from Fault Tolerant Systems, IEEE, 1991, pp. 10-17.
Facca, Federico Michele et al, Mining interesting knowledge from weblogs; a survey, www.sciencedirect.com, Data & Knowledge Engineering, 2004 Published by Elsevier B. V., pp. 1-18.
Garg Sachin
Singh Navjot
Vasireddy Ranjith
Vasireddy, legal representative Sridhar
Yajnik Shalini
Avaya Inc.
Fernandez Rivas Omar
Maldjian Law Group LLC
Maldjian, Esq. John P.
LandOfFree
Message log analysis for system behavior evaluation does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Message log analysis for system behavior evaluation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Message log analysis for system behavior evaluation will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4297148