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Challenges in Ubiquitous Data Management

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Book cover Informatics

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2000))

Abstract

Ubiquitous computing is a compelling vision for the future that is moving closer to realization at an accelerating pace. The combination of global wireless and wired connectivity along with increasingly small and powerful devices enables a wide array of new applications that will change the nature of computing. Beyond new devices and communications mechanisms, however, the key technology that is required to make ubiquitous computing a reality is data management. In this short paper, I attempt to identify and organize the key aspects of ubiquitous computing applications and environments from a data management perspective and outline the data management challenges that they engender. Finally, I describe two on-going projects: Data Recharging and Telegraph, that are addressing some of these issues.

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References

  1. Mehmet Altinel, Michael J. Franklin. Efficient Filtering of XML Documents for Selective Dissemination of Information, Proceedings of the International Conference on Very Large Data Bases, Cairo, September 2000.

    Google Scholar 

  2. Rafael Alonso, Henry F. Korth. Database System Issues in Nomadic Computing. Proceedings of the ACM SIGMOD Conference, Washington, D.C., June 1993, pp388–392.

    Google Scholar 

  3. Ron Avnur, Joseph M. Hellerstein. Eddies: Continuously Adaptive Query Processing, Procedings of the ACM SIGMOD Conference, Philadelphia, PA, June 2000

    Google Scholar 

  4. Ugur Cetintemel, Michael J. Franklin, and C. Lee Giles. Self-Adaptive User Profiles for Large-Scale Data Delivery, Proceedings of the International Conference on Data Engineering, San Diego, CA, February, 2000, pp 622–633

    Google Scholar 

  5. Mitch Cherniack, Michael J. Franklin, Stan Zdonik. Expressing User Profiles for Data Recharging, submitted for publication, October, 2000.

    Google Scholar 

  6. Matthew Denny, Michael J. Franklin. Edison: Database-Supported Synchronization for PDAs, submitted for publication, November, 2000.

    Google Scholar 

  7. Joseph M. Hellerstein, Michael J. Franklin, Sirish Chandrasekaran, Amol Deshpande, Kris Hildrum, Sam Madden, Vijayshankar Raman, Mehul Shah. Adaptive Query Processing: Technology in Evolution, IEEE Data Engineering Bulletin, June 2000, pp 7–18.

    Google Scholar 

  8. Joseph M. Hellerstein Ron Avnur, Andy Chou, Chris Olston, Vijayshankar Raman, Tali Roth, Christian Hidber, Peter J. Haas. Interactive Data Analysis with CONTROL, IEEE Computer 32(8), August, 1999, pp. 51–59.

    Google Scholar 

  9. Peter J. Haas, Joseph M. Hellerstein. Ripple Joins for Online Aggregation, Procedings of the ACM SIGMOD Conference, Philadelphia, PA, June, 1999, pp. 287–298.

    Google Scholar 

  10. John Kubiatowicz, David Bindel, Yan Chen, Steven Czerwinski, Patrick Eaton, Dennis Geels, Ramakrishna Gummadi, Sean Rhea, Hakim Weatherspoon, Westley Weimer, Chris Wells, and Ben Zhao. OceanStore: An Architecture for Global-Scale Persistent Storage, Proceeedings of the Ninth Iinternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2000), November 2000.

    Google Scholar 

  11. Tolga Urhan, Michael J. Franklin, Laurent Amsaleg. Cost Based Query Scrambling for Initial Delays,Procedings of the ACM SIGMOD Conference, Seattle, WA, June 1998, pp. 130–141.

    Google Scholar 

  12. Tolga Urhan, Michael J. Franklin. XJoin: A Reactively-Scheduled Pipelined Join Operator. IEEE Data Engineering Bulletin, 23(2), June, 2000, pp. 27–33.

    Google Scholar 

  13. Weiser, Mark. The Computer for the Twenty-First Century. Scientific American. September 1991. pp. 94–104.

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Franklin, M.J. (2001). Challenges in Ubiquitous Data Management. In: Wilhelm, R. (eds) Informatics. Lecture Notes in Computer Science, vol 2000. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44577-3_2

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  • DOI: https://doi.org/10.1007/3-540-44577-3_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41635-7

  • Online ISBN: 978-3-540-44577-7

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