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Publication

Run-time correlation engine for system monitoring and testing

Date
2009
Abstract
We present an approach and implementation for run-time correlation of large volumes of log data and symptom matching of know issues in the context of large enterprise applications. Our solution provides for (a) automatic data collection, (b) data normalisation into a common format, (c) run time correlation and analysis of the data to give a coherent view of system behaviour at run-time and (d) a symptom matching mechanism that can identify known errors in the correlated data on the fly. We have implemented our approach in the form of the Run-Time Correlation Engine (RTCE) and have applied it in a real industry test.
Supervisor
Description
peer-reviewed
Publisher
Association for Computing Machinery
Citation
ICAC '09 Proceedings of the 6th international conference on Autonomic computing;pp. 43-44
Collections
Lero - The Science Foundation Ireland Research Centre for Software
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2009_Holu.pdf
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Keywords
performance, reliability, verification
ULRR Identifiers
https://researchrepository.ul.ie/handle/10344/2392
 https://doi.org/10.34961/812
Funding code
Funding Information
Science Foundation Ireland (SFI)
Sustainable Development Goals
External Link
Type
Meetings and Proceedings
Rights
https://creativecommons.org/licenses/by-nc-sa/1.0/
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