By Christophe Cérin, Kuan-Ching Li
This ebook constitutes the refereed complaints of the second one foreign 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 conscientiously chosen from 217 submissions in the course of rounds of reviewing and development. The papers handle all elements of grid and pervasive computing and concentrate on subject matters resembling 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.
Read Online or Download Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings PDF
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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
Thaden. Semantic overlay clusters within super-peer networks. In Proc of the International Workshop on Databases, Information Systems and Peer-to-Peer Computing in Conjunction with the VLDB 2003, 2003. 13. T. 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.
Figure 7 shows the major components of Taiwan UniGrid and their interactions. The high-level operation scenario is explained as follows. • A Grid user logins to UniGrid Portal by entering his/her account and password and UniGrid Portal employs Account Management service to verify user’s identity. • If login successfully, UniGrid Portal directs the user to his/her working web page, as shown in Figure 8. • He/she launches the data management client (Figure 4) and uploads programs and data needed for the jobs, which will be submitted later, to the data storage system.
One is Java-based and another is C-based. The data management library provides a uniform interface of data and storage management by which programmers can build various Grid applications to access the underling storage resources. Fig. 2. The deployment of the virtual storage system for Taiwan UniGrid Figure 2 presents the deployment of our virtual storage system. Since there is a huge amount of storage resources distributed in Taiwan UniGrid, using a single information server to maintain the metadata regarding users, data and storages may cause the problems of server overloading and single point of failure.