Abstract
The traditional centralized event correlations are less of simplicity, scalability and robustness. DSEC is presented to solve this problem. It is based on the Divide-and-Conquer strategy that makes parallel local correlation at multiple agents and combines local causes on the global level. It regards a management task as an event probe, thus brings high-level and rich-semantic information to events and achieves the simplicity and scalability of causality graph. Meanwhile, it limits event explosion at each agent and improves robustness to noise.
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Guo, N., Gao, T., Zhang, B., Zhao, H. (2007). Distributed and Scalable Event Correlation Based on Causality Graph. In: Ata, S., Hong, C.S. (eds) Managing Next Generation Networks and Services. APNOMS 2007. Lecture Notes in Computer Science, vol 4773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75476-3_67
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DOI: https://doi.org/10.1007/978-3-540-75476-3_67
Publisher Name: Springer, Berlin, Heidelberg
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