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Adaptive control of cluster-based Web systems using neuro-fuzzy models Cover

Adaptive control of cluster-based Web systems using neuro-fuzzy models

International Journal of Applied Mathematics and Computer Science
Volume 22 (2012): Issue 2 (June 2012)
By:   
Open Access
|Jun 2012
References

References

  1. AlSa'deh, A. and Yahya, A. H. (2008). Shortest remaining response time scheduling for improved web server performance,J.Filipe and J. Cordeiro (Eds.),, Lecture Notes in Business Information Processing, Vol. 18, Springer-Verlag, Berlin/Heidelberg, pp. 80-92.
    Search in Google Scholar
  2. Andreolini, M., Casolari, S. and Colajanni, M. (2008). Autonomic request management algorithms for geographically distributed internet-based systems,, pp. 171-180.
    Search in Google Scholar
  3. Barford, P., Bestavros, A., Bradley, A. and Crovella, M. (1999). Changes in web client access patterns: Characteristics and caching implications,(1): 15-28.
    Open DOISearch in Google Scholar
  4. Borzemski, L. (2006). The use of data mining to predict web performance,(6): 587-608.
    Open DOISearch in Google Scholar
  5. Borzemski, L. and Suchacka, G. (2010). Business-oriented admission control and request scheduling for e-commerce websites,(8): 592-609.
    Open DOISearch in Google Scholar
  6. Borzemski, L. and Zatwarnicki, K. (2003). A fuzzy adaptive request distribution algorithm for cluster-based web systems,, pp. 119-126.
    Search in Google Scholar
  7. Borzemski, L. and Zatwarnicki, K. (2006). Fuzzy-neural web switch supporting differentiated service,B. Gabrys, R. J. Howlett and L. C. Jain (Eds.),, Lecture Notes in Artificial Intelligence, Vol. 4252, Springer-Verlag, Berlin/Heidelberg, pp. 195-203.
    Open DOISearch in Google Scholar
  8. Borzemski, L., Zatwarnicki, K. and Zatwarnicka, A. (2007). Adaptive and intelligent request distribution for content delivery networks,(8): 837-857.
    Open DOISearch in Google Scholar
  9. Cardellini, V., Casalicchio, E., Colajanni, M. and Mambelli, M. (2001). Web switch support for differentiated services,(2): 14-19.
    Open DOISearch in Google Scholar
  10. Cardellini, V., Casalicchio, E., Colajanni, M. and Yu, P. S. (2002). The state of the art in locally distributed web-server systems,(2): 263-311.
    Open DOISearch in Google Scholar
  11. Casalicchio, E. and Colajanni, M. (2001). A client-aware dispatching algorithm for web clusters providing multiple services,, pp. 535-544.
    Search in Google Scholar
  12. Cherkasova, L. and Karlsson, M. (2001). Scalable webserver cluster design with workload-aware request distribution strategy ward,, p. 212.
    Search in Google Scholar
  13. CSIM (2008). Mesquite software 2008: Development toolkit for simulation and modeling
    Search in Google Scholar
  14. Driankov, D., Hellendoorn, H. and Reinfrank, M. (1996)., Springer, New York, NY.
    Open DOISearch in Google Scholar
  15. Elnikety, S., Nahum, E., Tracey, J. and Zwaenepoel, W. (2004). A method for transparent admission control and request scheduling in e-commerce web sites,, pp. 276-286.
    Search in Google Scholar
  16. Gilly, K., Juiz, C. and Puigjaner, R. (2011). An up-to-date survey in web load balancing,(2): 105-131.
    Open DOISearch in Google Scholar
  17. Harchol-Balter, M., Schroeder, B., Agrawal, M. and Bansal, N. (2003). Size-based scheduling to improve web performance,(2): 207-233.
    Open DOISearch in Google Scholar
  18. Horikowa, S., Furuhashi, T. and Uchikawa, Y. (1992). On fuzzy modeling using fuzzy neural networks with the backpropagation algorithm,, pp. 801-806.
    Search in Google Scholar
  19. Kwok, Y.-K. and Cheung, L.-S. (2004). A new fuzzy-decision based load balancing system for distributed object computing,(2): 238-253.
    Open DOISearch in Google Scholar
  20. Kun-Ming, V., Chou, Y. and Wang, Y. (2004). A fuzzy-based dynamic load-balancing algorithm,(2): 55-63.
    Search in Google Scholar
  21. Lee, K. M., Kwak, D. H. and Leekwang, H. (1995). Tuning of fuzzy models by fuzzy neural networks,(1): 47-61.
    Open DOISearch in Google Scholar
  22. Lee, S. C. M., Lui, J. C. S. and Yau, D. K. Y. (2004). A proportional-delay diffserv-enabled web server: Admission control and dynamic adaptation,(5): 385-400.
    Open DOISearch in Google Scholar
  23. Mamdani, E. H. (1977). Application of fuzzy logic to approximate reasoning using linguistic synthesis,(12): 1182-1191.
    Open DOISearch in Google Scholar
  24. Menasce, D. and Almeida, V. (1998)., Prentice-Hall, New York, NY.
    Search in Google Scholar
  25. Pai, V. S., Aron, M., Banga, G., Svendsen, M., Druschel, P., Zwaenepoel, W. and Nahum, E. (1998). Locality-aware request distribution in cluster-based network servers,(11): 205-215.
    Open DOISearch in Google Scholar
  26. Pilinski, M. (1996). Universal network trainer,, Vol. 2, pp. 383-391.
    Search in Google Scholar
  27. Quan, Z. and Chung, J.-M. (2005). Statistical admission control for real-time services under earliest deadline first scheduling,(2): 137-154.
    Open DOISearch in Google Scholar
  28. Riska, A., Sun, W., Smirni, E. and Ciardo, G. (2002). Adaptload: Effective balancing in clustered web servers under transient load conditions,, pp. 103-111.
    Search in Google Scholar
  29. Simiński, K. (2010). Rule weights in a neuro-fuzzy system with a hierarchical domain partition,(2): 337-347, DOI: 10.2478/v10006-010-0025-3.
    Open DOISearch in Google Scholar
  30. Wei, J. and Xu, C.-Z. (2006). Provisioning of client-perceived end-to-end QoS guarantees in web servers,(12): 1543-1556.
    Open DOISearch in Google Scholar
  31. Wei, J., Zhou, X. and Xu, C.-Z. (2005). Robust processing rate allocation for proportional slowdown differentiation on internet servers,(8): 964-977.
    Open DOISearch in Google Scholar
  32. Williams, A., Arlitt M., Williamson, C. and Barker, K. (2005). Web workload characterization: Ten years later,X. Tang, I. Xu and S. T. Chanson (Eds.),, Web Information Systems Engineering and Internet Technologies, Vol. 2, Springer-Verlag, Berlin/Heidelberg, pp. 3-21.
    Open DOISearch in Google Scholar
  33. Xia, C. H., Liu, Z., Squillante, M. S., Zhang, L. and Malouch, N. (2005). Web traffic modeling at finer time scales and performance implications,(2): 181-201.
    Open DOISearch in Google Scholar
  34. Zadeh, L. A. (1965). Fuzzy sets,(3): 338-353.
    Open DOISearch in Google Scholar
  35. Zadeh, L. A. (1996). Fuzzy logic-computing with words,(2): 104-111.
    Open DOISearch in Google Scholar
  36. Zatwarnicki, K. (2010). Neuro-fuzzy models in global HTTP request distribution,J. Pan, S. Chen and N. T. Nguyen (Eds.),, Lecture Notes in Computer Science, Vol. 6421, Springer-Verlag, Berlin/Heidelberg, pp. 1-10.
    Open DOISearch in Google Scholar
  37. Zatwarnicki, K. (2011). Identification of the Web server,A. Kwiecień, P. Gaj and P. Stera (Eds.),, Communications in Computer and Information Science, Vol. 160, Springer-Verlag, Berlin/Heidelberg, pp. 45-54.
    Open DOISearch in Google Scholar
  38. Zhou, X.,Wei, J. and Xu, C.-Z. (2007). Quality-of-service differentiation on the internet: A taxonomy,(1): 354-383.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.2478/v10006-012-0027-4 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 365 - 377
Published on: Jun 28, 2012
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
neuro-fuzzy model,
request distribution,
Web cluster,
QoWS
Related subjects:
Mathematics,
Applied mathematics

© 2012 Krzysztof Zatwarnicki, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

Volume 22 (2012): Issue 2 (June 2012)
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