Application of transfer regression to TCP throughput prediction

Proceedings - 2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009

Volumn , Issue , 2009, Pages 28-33

  Borzemski, Leszek ^a   Starczewski, Gabriel ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Data mining; TCP throughput prediction; Transfer Regression; Web performance

Indexed keywords

FILE TRANSFER TIME; HTTP PROTOCOLS; MOVING AVERAGES; TCP THROUGHPUT PREDICTION; TRANSFER REGRESSION; WEB PERFORMANCE; WEB SERVERS;

HYPERTEXT SYSTEMS; INTERNET PROTOCOLS; REGRESSION ANALYSIS; TRANSMISSION CONTROL PROTOCOL;

DATABASE SYSTEMS;

EID: 70449095090     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACIIDS.2009.74     Document Type: Conference Paper

References (18)

1. Z. U. M. Abusina, S. M. S. Zabir, A. Asir, D. Chakraborty, T. Suganuma, and N. Shiratori, "An engineering approach to dynamic prediction of network performance from application logs," Int. Network Mgmt 15(3) 2005, pp. 151-162.
2. M. Allman and V. Paxson, "On estimating end-to-end network path properties," Proc. of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 1999, pp. 263-274.
3. M. Arlit, B. Krishnamurthy, and J.C. Mogul, "Predicting shorttransfer latency from TCP arcane: A trace-based validation," Proc. of International Measurement Conference IMC'05. USENIX Association, 2005, Article No. 19.
4. P. Barford, M. Mirza, and X. Zhu, "A machine learning approach to TCP throughput prediction," ACM SIGMETRICS Performance Evaluation Review, volume 35, issue 1, 2007, 97-108.
5. L. Borzemski, "Towards Web performance mining," in Web Mining Applications in E-Commerce & E-Services, Studies in Computational Intelligence, vol.172, I-H. Ting and H.-J. Wu, Eds. Berlin: Springer-Verlag, 2009, pp. 81-102.
6. L. Borzemski, "The use of data mining to predict Web performance," Cybernetics and Systems 37(6), 2006, pp. 587-608.
7. L. Borzemski, "Internet path behavior prediction via data mining: Conceptual framework and case study," J. UCS 13(2), 2007, pp. 287-316.
8. L. Borzemski, M. Kliber, and Z. Nowak, "Application of data mining algorithms to TCP throughput prediction in HTTP transactions," in New Frontiers in Applied Artificial Intelligence, Lecture Notes in Artificial Intelligence, vol.5027, N.T. Nguyen, L. Borzemski, A. Grzech, and M. Ali, Eds. Berlin: Springer-Verlag, 2008, pp. 159-168.
9. K. Claffy, C. Dovrolis, and M. Murray, "Bandwidth estimation: metrics, measurement techniques, and tools," IEEE Network, vol.17, issue:6, 2003, pp. 27-35.
10. A. Dorneich, R. Natarajan, E. Pednault, and F. Tipu, "Embedded predictive modeling in a parallel relational database," Proc. 21st Annual ACM Symposium on Applied Computing, 2006, pp. 569 - 574.
11. C. Dovrolis, "End-to-end available bandwidth estimation," Proc. Of the 2005 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2005, pp. 265-276.
12. Q. He, C. Dovrolis, and M. Ammar, "On the predictability of large transfer TCP throughput," Computer Networks, 51(14), 2007, pp. 3959-3977.
13. T. Huang and J. Subhlok, "Fast pattern-based throughput prediction for TCP bulk transfers," Proc. of the Fifth IEEE Intern'l Symposium on Cluster Computing and the Grid CCGrid'05, 2005, pp. 410-417.
14. IBM DB2 Intelligent Miner 8.2. (2008). Available: www.ibm.com.
15. R.P. Karrer, "TCP prediction for adaptive applications," Proc. Of the 32nd IEEE Conference on Local Computer Networks, 2007, pp. 989-996.
16. Linux Debian. (2008). Available: http://www.debian.org.
17. E. Pednault, "Transform Regression and the Kolmogorov Superposition Theorem," Proc. of the Sixth SIAM International Conference on Data Mining, SIAM, 2006, pp. 35-46.
18. S. Vazhkudai and J.M. Schopf, "Predicting sporadic grid data transfers," Proc. 11th International Symposium on High Performance Distributed Computing HPDC-11, 2002, pp. 188-196.