Open Access
Issue
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
Article Number 09025
Number of page(s) 5
Section Session 9: Computer Science and its Applications
DOI https://doi.org/10.1051/itmconf/20160709025
Published online 21 November 2016
  1. D. Jiang, Z. Xu, J. Liu, et al. An optimization-based robust routing algorithm to energy-efficient networks for cloud computing. Telecommunication Systems, Sept., 2016, 63(1): 89–98. [CrossRef] [Google Scholar]
  2. T. Akgul, S. Baykut, M. Kantarci, S. Oktug. Periodicity-based anomalies in self-similar network traffic flow measurements, In Proceedings of TIM’11, 2011, 60(4): 1358–1366. [Google Scholar]
  3. D. Jiang, L. Nie, Z. Lv, et al. Spatio-temporal Kronecker compressive sensing for traffic matrix recovery. IEEE Access, 2016, online available. [Google Scholar]
  4. C. Tebaldi, M. West. Bayesian inference on network traffic using link count data, Journal of American Statistics Association, 1998, 93(442): 557–576. [CrossRef] [Google Scholar]
  5. A. Soule, A. Lakhina, N. Taft, et al. Traffic matrices: Balancing measurements, inference and modeling, ACM SIGMETRICS Performance Evaluation Review, 2005, 33(3): 362–373. [CrossRef] [Google Scholar]
  6. T. Takeda, K. Shionoto. Traffic matrix estimation in large-scale IP networks, In Proceedings of LANMAN’10, 2010, pp: 1–6. [Google Scholar]
  7. D. Jiang, Z. Zhao, Z. Xu, et al. How to reconstruct end-to-end traffic based on time-frequency analysis and artificial neural network, AEU-International Journal of Electronics and Communications, 2014, 68(10): 915–925. [CrossRef] [Google Scholar]
  8. P. Tune, D. Veitch. Sampling vs sketching: An information theoretic comparison[C], In Proceedings of INFOCOM, 2011, pp: 2105–2113. [Google Scholar]
  9. Y. Zhang, M Roughan, N. Duffield, et al. Fast accurate computation of large-scale IP traffic matrices from link loads, ACM SIGMETRICS Performance Evaluation Review, 2003, 31(3): 206–217. [CrossRef] [Google Scholar]
  10. D. Jiang, Z. Xu, H. Xu, et al. An approximation method of origin-destination flow traffic from link load counts, Computers and Electrical Engineering, 2011, 37(6): 1106–1121. [CrossRef] [Google Scholar]
  11. C. Chen, J. Hu, et al. Short-time traffic flow prediction with ARIMA-GARCH model[C], In Proceedings of IV, 2011, pp: 607–612. [Google Scholar]
  12. C. Hu. Online updating with a probability-based prediction model using expectation maximization algorithm for reliability forecasting. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2011, 41(6): 1268–1277. [CrossRef] [Google Scholar]
  13. D. Jiang, Z. Xu, Z. Chen, et al. Joint time-frequency sparse estimation of large-scale network traffic, Computer Networks, 2011, 55(10): 3533–3547. [CrossRef] [Google Scholar]
  14. H. Singhal and G. Michailidis. Structural models for dual modality data with application to network tomography, IEEE Transactions on Information Theory, 2011, 57(8): 5054–5071. [CrossRef] [Google Scholar]

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