Abstract
New designs of the Web switches must incorporate a client-and-server-aware adaptive dispatching algorithm to be able to optimize multiple static and dynamic services providing quality of service and service differentiation. This paper presents such an algorithm called FNRD (Fuzzy-Neural Request Distribution) which operates at layer-7 of the OSI protocol stack. This algorithm assigns each incoming request to the server with the least expected response time estimated using the fuzzy approach. FNRD has ability for learning and adaptation by means of a neural network feedback loop. We demonstrate through the simulations that our dispatching policy is more effective than state-of-the-art layer-7 reference dispatching policies CAP (Client-Aware Policy) and LARD (Locality Aware Request Distribution).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arlit, M., Jin, T.: A Workload Characterization Study of the 1998 Word Cup Web Site. IEEE Network, 30–37 (May/June 2000)
Aron, M., Druschel, P., Zwaenepoel, W.: Efficient Support for P-HTTP in Cluster Based Web Servers. In: Proc. Usenix Ann. Techn. Conf., Monterey, CA (1999)
Barford, P., Crovella, M.E.: A Performance Evaluation of Hyper Text Transfer Protocols. In: Proc. ACM SIGMETRICS 1999, pp. 188–197 (1999)
Borzemski, L., Zatwarnicki, K.: A Fuzzy Adaptive Request Distribution Algorithm for Cluster-Based Web Systems. In: Proc. of 11th Conf. on Parallel, Distributed and Network-based Processing, pp. 119–126. IEEE CS Press, Los Alamitos (2003)
Borzemski, L., Zatwarnicki, K.: Using Adaptive Fuzzy-Neural Control to Minimize Response Time in Cluster-Based Web Systems. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds.) AWIC 2005. LNCS (LNAI), vol. 3528, pp. 63–68. Springer, Heidelberg (2005)
Bunt, R., Eager, D., Oster, G., Wiliamson, C.: Achieving Load Balance and Effective Caching in Clustered Web Servers. In: Proc. 4th Int’l Web Caching Workshop (1999)
Cardellini, V., Casalicchio, E., Colajanni, M., Yu, P.S.: The State of the Art in Locally Distributed Web-Server Systems. ACM Comp. Surv. 34(2), 263–311 (2002)
Cardellini, V., Casalicchio, E., Colajanni, M., Mambelli, M.: Web Switch Support for Differenti-ated Services. ACM Perf. Eval. Rev. 29(2), 14–19 (2001)
Casalicchio, E., Colajanni, M.: A Client-Aware Dispatching Algorithm for Web Clusters Provid-ing Multiple Services. In: Proc. WWW, vol. 10, pp. 535–544 (2001)
Cheng, R.G., Chang, C.J.: A QoS-Provisioning Neural Fuzzy Connection Admission Controller for Multimedia Networks. IEEE Trans. on Networking 7(1), 111–121 (1999)
Kwok, Y.-K., Cheung, L.-S.: A New Fuzzy-Decision Based Load Balancing System for Distrib-uted Object Computing. J. Parallel Distribut. Comput. 64, 238–253 (2004)
Mamdani, E.H.: Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis. IEEE Trans. on Computers C-26(12), 1182–1191 (1977)
Mesquite Software Inc. CSIM19 User’s Guide. Austin, TX. http://www.mesquite.com
Pai, V.S., Aront, M., Banga, G., Svendsen, M., Druschel, P.: W. Zwaenpoel, Nahum E.: Locality-Aware Request Distribution in Cluster-Based Network Servers. In: Proc. of 8th ACM Conf. on Arch. Support for Progr. Languages (1998)
Yager, R.R., Filev, D.: Essentials of Fuzzy Modeling and Control. John Wiley and Sons, New York (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Borzemski, L., Zatwarnicki, K. (2006). Fuzzy-Neural Web Switch Supporting Differentiated Service. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_25
Download citation
DOI: https://doi.org/10.1007/11893004_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46537-9
Online ISBN: 978-3-540-46539-3
eBook Packages: Computer ScienceComputer Science (R0)