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Mathematical Problems in Engineering
Volume 2013, Article ID 179390, 10 pages
Research Article

A Novel System Anomaly Prediction System Based on Belief Markov Model and Ensemble Classification

College of Computer Science and Technology, Zhejiang University, Hangzhou 310012, China

Received 17 March 2013; Revised 13 July 2013; Accepted 31 July 2013

Academic Editor: Yingwei Zhang

Copyright © 2013 Xiaozhen Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Shaohan Huang, Carol Fung, Kui Wang, Polo Pei, Zhongzhi Luan, and Depei Qian, “Using recurrent neural networks toward black-box system anomaly prediction,” 2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), pp. 1–10, . View at Publisher · View at Google Scholar
  • Shaohan Huang, Carol Fung, Chang Liu, Shupeng Zhang, Guang Wei, Zhongzhi Luan, and Depei Qian, “Arena: Adaptive real-time update anomaly prediction in cloud systems,” 2017 13th International Conference on Network and Service Management (CNSM), pp. 1–9, . View at Publisher · View at Google Scholar
  • Zhiguo Ding, Haikuan Wang, Minrui Fei, and Dajun Du, “A Novel Distributed Online Anomaly Detection Method in Resource-Constrained Wireless Sensor Networks,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Zhiguo Ding, Minrui Fei, Dajun Du, and Fan Yang, “Streaming data anomaly detection method based on hyper-grid structure and online ensemble learning,” Soft Computing, 2016. View at Publisher · View at Google Scholar