By Chao-Tung Yang, Sung-Yi Chen, Tsui-Ting Chen (auth.), Christophe Cérin, Kuan-Ching Li (eds.)
This e-book constitutes the refereed court cases of the second one overseas convention on Grid and Pervasive Computing, GPC 2007, held in Paris, France in may perhaps 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 points of grid and pervasive computing and concentrate on themes similar to cluster computing, excessive functionality computing, grid computing, semantic internet and semantic grid, service-oriented computing, peer-to-peer computing, pervasive computing, cellular computing, community garage, in addition to grid and pervasive comparable applications.
Read 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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Additional resources for Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007. Proceedings
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. Therefore, in our system, we develop a collaborative platform through the combinations of forming user groups and specifying access permissions on each data object. In our system, a group of users who need to work together can ask the administrators to form a user group.
That is, in a large P2P system, one could see the global summary as an intermediate node in a global hierarchy where the virtual root is the ideal complete summary. In this work, we propose fully distributed algorithms for global summary construction and maintenance. However, we will first give a brief description of the summarization process that generates summaries of relational databases with interesting features, making it scalable in a distributed environment. 16 R. Hayek et al. 2 Summarization Process: Scalability Issues A summarization process is integrated to each peer’s DBMS to allow constructing the local summary level of Figure 1.
S AINT E TI Q generates database summaries with low complexity, and can be distributed and parallelized which makes it scalable in a distributed environment. Second, we proposed efficient algorithms for summary management in PeerSum. Our analysis and simulation results showed that the use of summaries as data indexes reduces the cost of query routing by an important factor compared to flooding approaches, without incurring high costs in terms of update messages exchanged in the network. Furthermore, our system guarantees a good query accuracy which is measured in terms of the fraction of stale answers in query results.