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인터넷 트래픽 예측 모형 성능 분석 연구

Performance Analysis of Internet Traffic Forecasting Model

  • Kim, S. (Department of Statistics, Chung-Ang University) ;
  • Ha, M.H. (Department of Statistics, Chung-Ang University) ;
  • Jung, J.Y. (Department of Statistics, Chung-Ang University)
  • 투고 : 20110100
  • 심사 : 20110200
  • 발행 : 2011.04.30

초록

본 연구에서는 인터넷 트래픽 자료를 예측하는데 사용되는 Holt-Winters, FARIMA, AR-GARCH 모형을 트래픽 예측에 적용하여 각 모형을 성능을 비교하고자 한다. 각 시계열 모형에 대해 소개하고, 트래픽 자료의 특성인 장기기억 특성을 설명하는데 적합한 모형을 알아보기 위해 실제 트래픽 자료에 적용하여 예측 성능을 비교하였다.

In this paper, we compare performance of three models. The Holt-Winters, FARIMA and ARGARCH models, are used in predicting internet traffic data for analysis of traffic characteristics. We first introduce the time series models and apply them to real traffic data to forecast. Finally, we examine which model is the most suitable for explaining the long memory, the characteristics of the traffic material, and compare the respective prediction performance of the models.

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참고문헌

  1. Basu, A., Mukherjee, A. and Klivansky, S. (1996). Time series models for internet traffic, InProceedings IEEE Infocom 96, Fifteenth Annual Conference of the IEEE Computer Societies, 4, 24–28.
  2. Dingde, J. and Guangmin, H. (2009). GARCH model-based large-scale IP traffic matrix estimation, Communications Letters, IEEE, 13, 52–54. https://doi.org/10.1109/LCOMM.2008.081271
  3. Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of U. K. inflation, Econometrica, 50, 987–1008. https://doi.org/10.2307/1912773
  4. Kim, S. (2007). Time series models for performance evaluation of network traffic forecasting, The Korea, Jiurnal of Applied Statistics, 20, 219–227.
  5. Liu, J., Shu, Y., Zhang, L. and Xue, F. (1999). Traffic modeling based on FARIMA models, IEEE Canadian Conference on Electrical and Computer Engineering, 162–167.
  6. Shu, Y., Yu, M., Yang, O., Liu, J. and Feng, H. (2005). Wireless traffic modeling and prediction using seasonal ARIMA models, IEICE-Transactions on Comminications, 10, 3992–3999.
  7. Tikunov, D. and Nishimura, T. (2007). Traffic prediction for mobile network using Holt-Winter’s exponential smoothing, Telecommunications and Computer Networks, 15th International Conference, 1–5.
  8. Winters, P. R. (1960). Forecasting sales by exponentially weighted moving averages, Management Science, 6, 324–342. https://doi.org/10.1287/mnsc.6.3.324