Abstract
Cross network alarm correlation is an important basis for fault root cause analysis. Based on big data association analysis algorithm, this paper puts forward a new analysis method of cross network of the network element (NE) alarm correlation. Meanwhile, in order to overcome the disadvantages of previous alarm correlation which is based on topology and rules, a kind of correlation strategy of pan NE relation is put forward. The validity of the new method of alarm correlation analysis is verified by the test of the actual data coming from operator.
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CITATION STYLE
Man, Y., Chen, Z., Chuan, J., Song, M., Liu, N., & Liu, Y. (2016). The study of cross networks alarm correlation based on big data technology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9567, pp. 739–745). Springer Verlag. https://doi.org/10.1007/978-3-319-31854-7_72
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