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Management of Distributed and Redundant Storage in High Demand Web Servers for Heterogeneous Networks Access by Agents

  • Enrique Torres Franco
  • Oscar Sanjuán Martínez
  • José Daniel García Sánchez
  • Luis Joyanes Aguilar
  • Rubén González Crespo
  • Sergio Rios Aguilar
Part of the Advances in Soft Computing book series (AINSC, volume 50)

Abstract

To improve the performance of a web server, the most usual solution is based on construcingt a distributed architecture, in which a set of nodes offer the web service. A web site is composed by a set of elements or resources, where each one of them can be of a specific type. The present article describes a new architecture proposed to add dynamic replication of the resources, supporting high demand file provisioning for web-based access arriving from heterogeneous (mobile & fixed) networks.

Keywords

software agents emergent techniques multi-agent storage management distributed storage redundant storage mobile services mobile provisioning 

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References

  1. 1.
    Cardellini, V., Casalicchio, E., Colajanni, M., Yu, P.S.: The state of the art in locally distributed Web-server systems. ACM Computing Surveys 34(2), 263–311 (2002)CrossRefGoogle Scholar
  2. 2.
    Johnson, S.: Emergence: The Connected Lives of Ants, Brains, Cities, and Software, Touchstone (2001)Google Scholar
  3. 3.
    Resnick, M.: Turtles, Termites, and Traffic Jams: Explorations in Massively Parallel Microworlds. MIT Press, Boston (1997)Google Scholar
  4. 4.
    Berners-Lee, T., Fielding, R., Frystyk, H.: Hypertext Transfer Protocol - HTTP/1.0. RFC 1945. Internet Engineering Task Force (May 1996)Google Scholar
  5. 5.
    Corchado, J.M., Molina, J.M.: Introducción a la Teoría de Agentes y Sistemas Multiagente. Edite Publicaciones Científicas, Salamanca, España (2002)Google Scholar
  6. 6.
    Wooldridge, M.: An Introduction to MultiAgent Systems. John Wiley and Sons, New York (2002)Google Scholar
  7. 7.
    Odell, J.: Objects and agents compared. Journal of object technology 1, 41–53 (2002)Google Scholar
  8. 8.
    Welicky, L., Sanjuán, O.: Improving Performance and Server Resource Usage with Page Fragment Caching in Distributed Web Servers. In: World Comp Proceedings, Las Vegas, Nevada, USA (2007)Google Scholar
  9. 9.
    Schroeder, T., Goddard, S., Ramamurthy, B.: Scalable web server clustering technologies. IEEE Network 14(3), 38–45 (2000)CrossRefGoogle Scholar
  10. 10.
    Andreolini, M., Colajanni, M., Nuccio, y.M.: Scalability of content aware server switches for cluster based Web information systems. In: Proc. of 12th International World Wide Web Conf (WWW 2003), Budapest, Hungary (2003)Google Scholar
  11. 11.
    Colajanni, M.: Emerging internet-based services: new frontiers for performance models and applications. In: Proceedings of the First International Conference on the Quantitative Evaluation of Systems, pp. 122–123. IEEE Computer Society, Los Alamitos (2004)CrossRefGoogle Scholar
  12. 12.
    Teo, Y.M., Ayani, R.: Comparison of load balancing strategies on cluster-based web servers. Simulation 77(5–6), 185–195 (2001)Google Scholar
  13. 13.
    Garcia, J.D., Carretero, J., Fernandez, J., Garcia, F., Singh, D.E., Calderon, A.: On the Reliability of Web Clusters with Partial Replication of Contents. In: First International Conference on Availability, Reliability and Security (ARES 2006), pp. 617–624. IEEE Computer Society, Los Alamitos (2006)CrossRefGoogle Scholar
  14. 14.
    Garcia, J.D.: Propuestas Arquitectónicas para servidores Web distribuidos con réplicas parciales, PhD Tesis, Universidad Carlos III de Madrid, Madrid (June 2005)Google Scholar
  15. 15.
    Rios, S., et al.: Plataforma de Provisión de Servicios Móviles basados en localización con sistemas GNSS y de Inteligencia de Red para soporte de Agentes Inteligentes. In: IWPAAMS 2007. Sixth International Workshop on Practical Applications of Agents and Multiagent Systems, Salamanca, pp. 251–258 (2007)Google Scholar
  16. 16.
    Fischer, M.J., Masi, D.M.B., Gross, D., Shortle, J., Brill, P.H.: Using quantile estimates in simulating internet queues with pareto service times. In: Proc. of the Winter Simulation Conference, vol. 1, pp. 477–485 (2001)Google Scholar
  17. 17.
    Adya, A., Bahl, P., Padhye, J., Wolman, A., Zhou, L.: A Multi-Radio Unification Protocol for IEEE 802.11Wireless Networks. In: First International Conference on Broadband Networks, pp. 344–354 (2004)Google Scholar
  18. 18.
    Leith, D.J., Shorten, R.N., McCullagh, G.: Experimental Evaluation of Cubic-TCP. In: Proc. Protocols for Fast Long Distance Networks, Los Angeles, USA (2007)Google Scholar
  19. 19.
    VuBrugier, G., Stanojevi´c, R.S., Leith, D.J., Shorten, R.N.: A critique of recently proposed Buffer Sizing strategies. ACM Computer Communication Review 37(1) (January 2007)Google Scholar
  20. 20.
    Tse, S.S.H.: Approximate Algorithms for Document Placement in Distributed Web Servers. IEEE Transactions on Parallel and Distributed Systems 16(6), 489–496 (2005)CrossRefGoogle Scholar
  21. 21.
    Krishnamurthy, S., Sanders, W.H., Cukier, M.: An Adaptive Quality of Service Aware Middleware for Replicated Services. IEEE Transactions on Parallel and Distributed Systems 15(11), 1112–1125 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Enrique Torres Franco
    • 1
  • Oscar Sanjuán Martínez
    • 2
  • José Daniel García Sánchez
    • 3
  • Luis Joyanes Aguilar
    • 1
  • Rubén González Crespo
    • 1
  • Sergio Rios Aguilar
    • 1
  1. 1.Computer Science FacultyPontifical University of SalamancaMadridSpain
  2. 2.Department of Computer ScienceUniversity of OviedoOviedo, AsturiasSpain
  3. 3.Department of Computer ScienceCarlos III UniversityMadridSpain

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