Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems

@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}
}
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 internal monitoring data reacts to the volume of user requests. We calculated flow intensity measurements from monitoring data and proposed an… CONTINUE READING
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