Predicting traffic in the cloud: A statistical approach

Proceedings - 2013 IEEE 3rd International Conference on Cloud and Green Computing, CGC 2013 and 2013 IEEE 3rd International Conference on Social Computing and Its Applications, SCA 2013

Volumn , Issue , 2013, Pages 121-126

  Dalmazo, Bruno Lopes ^a   Vilela, João P ^a   Curado, Marilia ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

Dropbox; Network traffic analysis; Network traffic prediction; Poisson process; Sliding window

Indexed keywords

DROPBOX; NETWORK TRAFFIC ANALYSIS; NETWORK TRAFFIC PREDICTIONS; POISSON PROCESS; SLIDING WINDOW;

CLOUD COMPUTING; FORECASTING; POISSON DISTRIBUTION;

COMPUTER NETWORKS;

EID: 84893270788     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CGC.2013.26     Document Type: Conference Paper

References (16)

1. E. M. Gilmer, "Is There a Silver Lining for the Environment in Cloud Computing?" The New York Times, Vol. 10 August, 2011.
2. Q. Zhang, L. Cheng, and R. Boutaba, "Cloud computing: state-of-the-art and research challenges," Journal of Internet Services and Applications, Vol. 1, no. 1, pp. 7-18, 2010.
3. K. Vieira, A. Schulter, C. Westphall, and C. Westphall, "Intrusion Detection for Grid and Cloud Computing," It Professional, Vol. 12, no. 4, pp. 38-43, 2010.
4. W. Yang, D. Yang, Y Zhao, and J. Gong, "Traffic flow prediction based on wavelet transform and radial basis function network," in 2010 International Conference on Logistics Systems and Intelligent Management. Harbin, China, Vol. 2, 2010, pp. 969-972.
5. M. Rahmani, K. Tappayuthpijarn, B. Krebs, E. Steinbach, and R. Bogenberger, "Traffic shaping for resource-efficient in-vehicle communication," IEEE Transactions on Industrial Informatics, Vol. 5, no. 4, pp. 414-428, Nov. 2009.
6. A. Yaacob, I. K. T. Tan, S. F. Chien, and H. K. Tan, "Arima based network anomaly detection," in Second International Conference on Communication Software and Networks, 2010. ICCSN '10. Singapore, Feb. 2010, pp. 205-209.
7. M. Li and S. Lim, "Modeling network traffic using generalized cauchy process," Physica A: Statistical Mechanics and its Applications, Vol. 387, no. 11, pp. 2584-2594, 2008.
8. A. Dainotti, W. De Donato, A. Pescape, and P. Salvo Rossi, "Classification of network traffic via packet-level hidden markov models," in Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. New Orleans, Louisiana, 2008, pp. 1-5.
9. B. Chang and H. Tsai, "Improving network traffic analysis by foreseeing data-packet-flow with hybrid fuzzy-based model prediction," Expert Systems with Applications. Tarrytown, NY, USA, Vol. 36, no. 3, pp. 6960-6965, 2009.
10. W. Lee, C. Chen, K. Chen, T. Chen, and C. Liu, "A comparative study on the forecast of fresh food sales using logistic regression, moving average and bpnn methods," Journal of Marine Science and Technology, Vol. 20, no. 2, pp. 142-152, 2012.
11. A. Li, Y Han, B. Zhou, W. Han, and Y Jia, "Detecting Hidden Anomalies Using Sketch for High-speed Network Data Stream Monitoring," Applied Mathematics, Vol. 6, no. 3, pp. 759-765, 2012.
12. P. Yan-hui and W. Tao, "Network traffic emulation based on representative network behavior and protocol," in 1st International Conference on Information Science and Engineering (ICISE). IEEE, 2009. Jiangsu, China, pp. 1777-1780.
13. S. Resnick, Heavy-tail phenomena: probabilistic and statistical modeling. Springer, 2006.
14. I. Drago, M. Mellia, M. M. Munafo, A. Sperotto, R. Sadre, and A. Pras, "Inside Dropbox: Understanding Personal Cloud Storage Services," in Proceedings of the 12th ACM SIGCOMM Conference on Internet Measurement. Berlin, Germany., ser. IMC 12, 2012.
15. A. C. Cameron and P. K. Trivedi, "Regression-based tests for overdis-persion in the poisson model," Journal of Econometrics, Vol. 46, no. 3, pp. 347-364, 1990.
16. A. S. Weigend and N. A. Gershenfeld, Eds., Time series prediction: Forecasting the future and understanding the past. Westview Press, 1994.