Abstract
We have developed content-aware request distribution algorithm called FARD which is a client-and-server-aware, dynamic and adaptive distribution policy in cluster-based Web systems. It assigns each incoming request to the server with the least expected response time. To estimate the expected response times it uses the fuzzy estimation mechanism. The system is adaptive as it uses a neural network learning ability for its adaptation. Simulations based on traces from the 1998 World Cup show that when we consider the response time, FARD can be more effective than the state-of-the-art content-aware policy LARD.
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
Borzemski, L.: Data Mining in Evaluation of Internet Path Performance. In: Orchard, B., Yang, C., Ali, M. (eds.) IEA/AIE 2004. LNCS (LNAI), vol. 3029, pp. 643–652. Springer, Heidelberg (2004)
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)
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)
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 distributed 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)
Pai, V.S., Aront, M., Banga, G., Svendsen, M., Druschel, P., Zwaenpoel, W., 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, Chichester (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Borzemski, L., Zatwarnicki, K. (2005). Using Adaptive Fuzzy-Neural Control to Minimize Response Time in Cluster-Based Web Systems. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds) Advances in Web Intelligence. AWIC 2005. Lecture Notes in Computer Science(), vol 3528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495772_11
Download citation
DOI: https://doi.org/10.1007/11495772_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26219-0
Online ISBN: 978-3-540-31900-9
eBook Packages: Computer ScienceComputer Science (R0)