By Christophe Cérin, Kuan-Ching Li
This booklet constitutes the refereed court cases of the second one overseas convention on Grid and Pervasive Computing, GPC 2007, held in Paris, France in might 2007.
The fifty six revised complete papers and 12 revised brief papers have been conscientiously chosen from 217 submissions in the course of rounds of reviewing and development. The papers deal with all facets of grid and pervasive computing and concentrate on issues 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 similar applications.
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Extra resources for Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings
In addition, we also develop a friendly graphic user interface of the virtual storage system that helps Grid users manage their data as using local file systems. Fig. 3. (a) The replica selection approach. (b) The multi-source data transfer approach. 1 Multi-source Data Transfer To achieve high-performance data transfer, data replication has been a widely used technique that facilitates a Grid user to select a best replica site closest to the specific destination and transfer the selected replica to it.
Ozsu and P. Valduriez. Principles of Distributed Database Systems. Prentice Hall, 1999. 14. G. Raschia and N. Mouaddib. A fuzzy set-based approach to database summarization. Fuzzy sets and systems 129(2), pages 137–162, 2002. 15. S. Ratnasamy, P. Francis, M. Handley, R. Karp, and S. Shenker. A scalable content– addressable network. In Proc SIGCOMM, 2001. 16. R. Saint-Paul, G. Raschia, and N. Mouaddib. General purpose database summarization. In Proc VLDB, pages 733–744, 2005. 17. S. Saroiu, P. Gummadi, and S.
Our summaries are synthetic, multidimensional views with two main virtues. First, they provide an intelligible representation of the underlying data such that an approximate query can be processed entirely in their domain; that is, inputs and outputs are summaries. Second, as indexing structures, they support locating relevant nodes based on their data descriptions. PeerSum is done in the context of APPA, a network-independent P2P data management system . This paper makes the following contributions.
Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings by Christophe Cérin, Kuan-Ching Li