This research is aimed at providing theoretically rigorous, flexible, efficient, and scalable methodologies for intelligent delivery of data in a dynamic and resource constrained environment. Our proposed solution utilizes a uniform client and server profilization for data delivery and describe the challenges in developing optimized hybrid data delivery schedules. We also present an approach that aims at constructing automatic adaptive policies for data delivery to overcome various modeling errors utilizing feedback.


Digital Library Data Delivery Server Capability Very Large Data Base International World Wide 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bittner, S., Hinze, A.: A detailed investigation of memory requirements for publish/subscribe filtering algorithms. In: Proceedings of On the International Conference on Cooperative Information Systems (CoopIS 2005), pp. 148–165 (2005)Google Scholar
  2. 2.
    Bright, L., Gal, A., Raschid, L.: Adaptive pull-based policies for wide area data delivery. ACM Transactions on Database Systems (TODS) 31(2), 631–671 (2006)CrossRefGoogle Scholar
  3. 3.
    Buchanan, G., Hinze, A.: A generic alerting service for digital libraries. In: JCDL 2005: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, pp. 131–140. ACM Press, New York (2005)CrossRefGoogle Scholar
  4. 4.
    Carney, D., Lee, S., Zdonik, S.: Scalable application-aware data freshening. In: Proceedings of the IEEE CS International Conference on Data Engineering, March 2003, pp. 481–492 (2003)Google Scholar
  5. 5.
    Deolasee, P., Katkar, A., Panchbudhe, P., Ramamritham, K., Shenoy, P.: Adaptive push-pull: Deisseminating dunamic web data. In: Proceedings of the International World Wide Web Conference (WWW) (2001)Google Scholar
  6. 6.
    Eckstein, J., Gal, A., Reiner, S.: Optimal information monitoring under a politeness constraint. Technical Report RRR 16-2005, RUTCOR, Rutgers University, 640 Bartholomew Road, Busch Campus Piscataway, NJ 08854 USA (May 2005)Google Scholar
  7. 7.
    Gwertzman, J., Seltzer, M.: World Wide Web cache consistency. In: Proceedings of the USENIX Annual Technical Conference, San Diego, January 1996, pp. 141–152 (1996)Google Scholar
  8. 8.
    BlackBerry Wireless Handhelds, http://www.blackberry.com
  9. 9.
    Liu, C., Cao, P.: Maintaining strong cache consistency on the world wide web. In: Proceedings of the International Conference on Distributed Computing Systems (ICDCS), Baltimore, MD (1997)Google Scholar
  10. 10.
    Liu, H., Ramasubramanian, V., Sirer, E.G.: Client and feed characteristics of rss, a publish-subscribe system for web micronews. In: Proceedings of Internet Measurement Conference (IMC), Berkeley, California, October 2005, pp. 360–371 (2005)Google Scholar
  11. 11.
    Pandey, S., Dhamdhere, K., Olston, C.: WIC: A general-purpose algorithm for monitoring web information sources. In: Proceedings of the International conference on very Large Data Bases (VLDB), Toronto, ON, Canada, September 2004, pp. 360–371 (2004)Google Scholar
  12. 12.
    Papadimitriou, C.H., Yannakakis, M.: On the approximability of trade-offs and optimal access of web sources. In: FOCS, pp. 86–92 (2000)Google Scholar
  13. 13.
  14. 14.
  15. 15.
    Roitman, H., Gal, A., Bright, L., Raschid, L.: A dual framework and algorithms for targeted data delivery. Technical report, University of Maryland, College Park (2005), Available from: http://hdl.handle.net/1903/3012
  16. 16.
    Roitman, H., Gal, A., Raschid, L.: Framework and algorithms for web resource monitoring and data delivery. Technical Report CS-TR-4806, UMIACS-TR-2006-26, University of Maryland, College Park (2006)Google Scholar
  17. 17.
  18. 18.
    Yin, J., Alvisi, L., Dahlin, M., Iyengar, A.: Engineering server-driven consistency for large scale dynamic web services. In: Proceedings of the International World Wide Web Conference (WWW), May 2001, pp. 45–57 (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Haggai Roitman
    • 1
  1. 1.Technion – Israel Institute of TechnologyHaifaIsrael

Personalised recommendations