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Databases, Info Systems, and Peer-to-Peer Computing [1st by PDF

ISBN-10: 3540209689

ISBN-13: 9783540209683

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ISBN-13: 9783540246299

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Inherent uncertainty of the QDN data together with the relaxation of the query semantics justify application of approximation techniques to achieve efficiency. Implementation Issues Operators. In DB-QDNs, the data is distributed among QDN nodes. An operator is executed by a set of selected QDN nodes, which receive the query (or subqueries), and perform partial processing and communicate with each other to generate the final result. Therefore, regardless of the type of the operator, the mechanism that defines the implementation of an operator should address the following questions: 1.

Hellerstein, W. Hong, S. Madden, M. Franklin, and S. Shenker. The sensor network as a database. Technical Report 02-771, University of Southern California, 2002. 11. A. Gupta, D. Agrawal, and A. El Abbadi. Approximate range selection queries in peer-to-peer systems. In Proceedings of the First Biennial Conference on Innovative Data Systems Research, January 2003. 12. M. M. Hellerstein, R. T. Loo, S. Shenker, and I. Stoica. Complex queries in DHT-based peer-to-peer networks. In Proceedings of the 1st International Workshop on Peer-to-Peer Systems (IPTPS ’02), 2002.

Intanagonwiwat, R. Govindan, D. Estrin, and D. Ganesan. Building efficient wireless sensor networks with low-level naming. In Proceedings of the Symposium on Operating Systems Principles, October 2001. 14. R. Huebsch, N. T. M. Hellerstein, S. Shenker, and I. Stoica. Querying the inernet with PIER. In Proceedings of 29th International Conference on Very Large Data Bases (VLDB’03), 2003. 15. J. Kleinberg. The small-world phenomenon: an algorithmic perspective. Technical Report 99-1776, Cornell University, 2000.

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Databases, Info Systems, and Peer-to-Peer Computing [1st Intl wkshop]

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