Abstract
Internet traffic patterns can cause serious buffer overflow in electronic business (e-business) systems. This leads to widespread retransmission that prolongs the service roundtrip time (RTT). As a result customers are unhappy and avoid returning to do more business. The previous Real-Time Traffic Pattern Detector (RTPD) was proposed to improve Internet channel fault tolerance. With RTPD support time-critical applications can identify the traffic patterns and invoke the corresponding measures to neutralize their ill effects in a dynamic manner. The extant RTPD, however, cannot detect self-similar traffic. This inspired the development of the novel self-similarity (S 2) filter proposed in this paper, which makes the RTPD capability more complete. The “RTPD + S 2” package is the enhanced RTPD or ERTPD package. The test results indicate that the addition of the S 2 mechanism can indeed contribute to improved e-business communication channels over the Internet.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Thomas, S.F., Gillenson, M.L.: Mobile Commerce: What It Is and What It Could Be. Communications ACM 46(12), 33–34 (2003)
Venkatesh, V., Ramesh, V., Massey, A.P.: Understanding Usability in Mobile Commerce. Communications of the ACM 46(12), 53–56 (2003)
Garlan, D., Siewiorek, D.P., Smailagic, A., Steenkiste, P.: Project Aura: Toward Distraction-free Pervasive Computing. IEEE Pervasive Computing 1(2), 22–31 (2002)
Wong, A.K.Y., Lin, W.W.K., Ip, M.T.W., Dillon, T.S.: Genetic Algorithm and PID Control Together for Dynamic Anticipative Marginal Buffer Management: An Effective Approach to Enhance Dependability and Performance for Distributed Mobile Object-Based Real-time Computing over the Internet. Journal of Parallel and Distributed Computing (JPDC) 62, 1433–1453 (2002)
Wu, R.S.L., Wong, A.K.Y., Dillon, T.S.: RDCT: A Novel Reconfigurable Dynamic Cache Size Tuner to Shorten Information Retrieval Time over the Internet International Journal of Computer Systems. Science & Engineering 19(6), 363–372 (2004)
Molnar, S., Dang, T.D., Vidacs, A.: Heavy-Tailedness, Long-Range Dependence and Self-Similarity in Data Traffic. In: Proc. of the 7th Int’l Conference on Telecommunication Systems, Modelling and Analysis, Nashville, USA, pp. 18–21 (1999)
Wong, A.K.Y., Dillon, T.S.: A Fault-Tolerant Data Communication Setup to Improve Reliability and Performance for Internet-Based Distributed Applications. In: Proc. of the 1999 Pacific Rim International Symposium on Dependable Computing (PRDC 1999), Hong Kong (SAR), pp. 268–275 (December 1999)
Wong, A.K.Y., Dillon, T.S., Ip, M.T.W., Lin, W.W.K., Wong, B.: A Collaboration Model for Better Reliability and Performance for Object-Based Distributed Applications over the Internet. International Journal of Computer Applications in Technology, 16, 78–86 (2002)
Paxson, V., Floyd, S.: Wide-Area Traffic: The Failure of Poisson Modeling. IEEE/ACM Transactions on Networking 3(3), 226–244 (1995)
Lin, W.W.K., Wong, A.K.Y., Dillon, T.S.: A Novel Fuzzy-PID Dynamic Buffer Tuning Model to Eliminate Overflow and Shorten the End-to-End Roundtrip Time for TCP Channels. In: Cao, J., Yang, L.T., Guo, M., Lau, F. (eds.) ISPA 2004. LNCS, vol. 3358, pp. 783–787. Springer, Heidelberg (2004), http://www.springerlink.com/index/VF155CH38XFLLB4H
Lin, W.W.K., Wu, R.S.L., Wong, A.K.Y., Dillon, T.S.: A Novel Real-Time Traffic Pattern Detector for Internet Applications. In: Proc. of the Australasian Telecommunication Networks and Applications Conference, Sydney, Australia (ATNAC 2004), pp. 224–227 (December 2004)
Lewandowski, S.M.: Frameworks for Component-based Client/Server Computing. ACM Computing Surveys 30(1), 3–27 (1998)
Medina, A., Matta, I., Byers, J.: On the Origin of Power Laws in Internet Topologies. ACM SIGCOMM 30(2), 18–28 (2000)
Willinger, W., Paxson, V., Hiedi, R.H., Taqqu, M.S.: Long-Range Dependence and Data Network Traffic. In: Doukhan, P., et al. (eds.) Theory and Applications of Long-Range Dependence, Birkhäuser, pp. 373–408 (2003)
Taqqu, M.S.: Fractional Brownian Motion and Long-Range Dependence. In: Doukhan, P., et al. (eds.) Theory and Applications of Long-Range Dependence, pp. 5–38. Birkhäuser (2003)
Wong, A.K.Y., Wong, J.H.C.: A Convergence Algorithm for Enhancing the Performance of Distributed Applications Running on Sizeable Networks. The International Journal of Computer Systems, Science & Engineering 16(4), 229–236 (2001)
Intel’s VTune Performance Analyzer, http://ww.intel.com/support/performancetools/vtune/v5
Lin, W.W.K., Wong, A.K.Y., Dillon, T.S.: Application of Soft Computing Techniques to Adaptive User Buffer Overflow Control on the Internet. IEEE Transactions of Systems, Man and Cybernetics, Part C (2005)
Generator of Self-Similar Network Traffic, http://wwwcsif.cs.ucdavis.edu/~kramer/code/trf_gen1.html
WongTrace, http://www4.comp.polyu.edu.hk/~cswklin/traces_wonghokleung/
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wong, A.K.Y., Lin, W.W.K., Dillon, T.S., Wong, J.H.K. (2007). A Novel Self-Similar (S 2) Traffic Filter to Enhance E-Business Success by Improving Internet Communication Channel Fault Tolerance. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2007. Lecture Notes in Computer Science, vol 4671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73940-1_34
Download citation
DOI: https://doi.org/10.1007/978-3-540-73940-1_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73939-5
Online ISBN: 978-3-540-73940-1
eBook Packages: Computer ScienceComputer Science (R0)