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 may well 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 tackle all features of grid and pervasive computing and concentrate on subject matters corresponding 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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Additional info for Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings
In our approach, we Fig. 1. Summary Model Architecture adopt an incremental mechanism for summary construction, and define the notion of “summary coverage” as follows. Definition 1. Summary coverage. The coverage of a summary S in a network of size N is the fraction of the peers that own data described by the summary S. The coverage of a summary quantifies its convergence to the complete summary which is obviously characterized by a coverage = 1. The architecture of our summary model is presented in Figure 1.
Chord: A scalabale peer-to-peer lookup service for internet applications. In Proc ACM SIGCOMM, 2001. 19. I. Tartinov et al. The piazza peer data management project. In SIGMOD Record, 32(3), 2003. 20. A. Voglozin, G. Raschia, L. Ughetto, and N. Mouaddib. Querying the S AINT E TI Q summaries-a first attempt. In Int Conf. On Flexible Query Answering Systems (FQAS), 2004. 21. L. Zadeh. Concept of a linguistic variable and its application to approximate reasoning. Information and Systems, 1:119–249, 1975.
MSDTCopy(): Grid users or programs can make copies of data objects to the specified directories of the virtual storage system and the copies are reassembled in parallel from the source and replica sites of the original data objects. 2 Date Sharing According to the literature survey, we found that Grid users usually need a platform where they can work collaboratively. Although most Data Grid middleware provides the sharing of storage resources, data sharing for collaborative work is not well supported.
Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings by Christophe Cérin, Kuan-Ching Li