Download Advances in Grid and Pervasive Computing: Second by Christophe Cérin, Kuan-Ching Li PDF

By Christophe Cérin, Kuan-Ching Li

ISBN-10: 3540723595

ISBN-13: 9783540723592

ISBN-10: 3540723609

ISBN-13: 9783540723608

This e-book constitutes the refereed complaints of the second one overseas convention on Grid and Pervasive Computing, GPC 2007, held in Paris, France in may possibly 2007.

The fifty six revised complete papers and 12 revised brief papers have been rigorously chosen from 217 submissions in the course of rounds of reviewing and development. The papers deal with all features of grid and pervasive computing and concentrate on themes akin to cluster computing, excessive functionality computing, grid computing, semantic net and semantic grid, service-oriented computing, peer-to-peer computing, pervasive computing, cellular computing, community garage, in addition to grid and pervasive comparable applications.

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Extra info for Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings

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Even in that, SI showed a reduction of the number of messages, in comparison with flooding algorithms, that becomes more important with a large size of network. For instance, the query cost is reduced by a factor of 3 for a network of 2000 peers. 6 Conclusion In this paper, we proposed PeerSum, a new service for managing data summaries in P2P and Grid systems. PeerSum supports scaling up in terms of two dimensions: number of participants and amount of data. As we discussed, our summaries are compact data descriptions that can approximately answer a query without retrieving original records from distributed databases.

For example, for the class {young, malaria}, we can obtain an output set BMI = {underweight, normal}. 5 Performance Evaluation In this section, we devise a simple model of the summary management cost in PeerSum. Then, we evaluate and analyze our model with a simulation. 1 Cost Model A critical issue in summary management is to trade off the summary updating cost against the benefits obtained for queries. Summary Update Cost. Here, our first undertaking is to optimize the update cost while taking into account query accuracy.

4]) to nodes storing relevant data. However, efficient data indexes must be small, distributed and refer to data based on their content, without compromising peer autonomy or mandating a specific network structure. Mediation consists in exploiting structural information on data schemas to guide query propagation. For instance, in Piazza [19], a query is propagated along pre-existing pairwise mappings between peer schemas. However, many limitations prevent these techniques from scaling up. g. peers answering similar queries, are grouped together ([12], [5]).

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