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By Christophe Cérin, Kuan-Ching Li

This ebook constitutes the refereed court cases of the second one foreign 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 conscientiously chosen from 217 submissions in the course of rounds of reviewing and development. The papers handle 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 resources for Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings

Example text

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.

Thus, we restrict now our focus to the traffic overhead generated in the P2P network. Network traffic: Recall that there are two types of exchanged messages: push and reconciliation. Let local summaries have an average lifetime of L seconds in a given global summary. Once L expired, the node sends a (push) message to update its freshness value v in the cooperation list CL. The reconciliation algorithm is then initiated whenever the following condition is satisfied: v∈CL v/|CL| ≥ α where α is a threshold that represents the ratio of old descriptions tolerated in the global summary.

Therefore, the shared data can be submitted to a low modification rate, while the rate of node arrival/departure is very important. We propose now solutions for that peer dynamicity. Peer Arrival. When a new peer p joins the system, it contacts some existing peers to determine the set of its neighbors. If one of those neighbors is a partner peer, p becomes a new partner: a new element is added to the cooperation list with a freshness value v equal to one. Recall that the value 1 indicates the need of pulling the peer to get new data descriptions.

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