This paper presents a multi-layer monitoring and analysis approach for Cloud computing environments based on the methodology of Complex Event Processing (CEP). Instead of having to manually specify continuous queries on monitored event streams, CEP queries are derived from analyzing the correlations between monitored metrics across multiple Cloud layers. The results of our correlation analysis allow us to reduce the number of monitored parameters and enable us to perform a root cause analysis to identify the causes of performance-related problems. The derived analysis rules are implemented as queries in a CEP engine. The results of several experiments demonstrate the benefits of the proposed approach in terms of precision and recall in comparison with threshold-based methods. They also show the accuracy of our approach in identifying the causes of performance-related problems. © 2014 Springer International Publishing.
CITATION STYLE
Mdhaffar, A., Halima, R. B., Jmaiel, M., & Freisleben, B. (2014). CEP4CMA: Multi-layer cloud performance monitoring and analysis via complex event processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8593 LNCS, pp. 138–152). Springer Verlag. https://doi.org/10.1007/978-3-319-09581-3_10
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