Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems

Abstract

Distributed systems generate a large amount of monitoring data such as log files to track their operational status. However, it is hard to correlate such monitoring data effectively across distributed systems and along observation time for system management. In previous work, we proposed a concept named flow intensity to measure the intensity with which… (More)
DOI: 10.1109/TKDE.2007.190648

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Cite this paper

@article{Jiang2007EfficientAS, title={Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems}, author={Guofei Jiang and Haifeng Chen and Kenji Yoshihira}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2007}, volume={19} }