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According to those features proposed in this paper we let the normal user’s computers get involved in the data grid system easily, and share their powerful resources with the system. Users also can download the resources in this storage system so that data can be efficiently transferred. In this work, we make users’ computers involved in this distributed storage system easily, and share their powerful resources under this P2P environment. Users can download the files from this P2P distributed storage system. To transfer more efficiently, this paper also proposes a parallel transfer algorithm for every node and replication mechanism. The experiment results have shown it is an effective parallel transfer method, which not only use network bandwidth more, but also reduce the download transfer time.

In this work, we make utilization of users’ computers involved in this distributed storage system easily, and share their powerful resources with this P2P environment. Users can download the files from this P2P distributed storage system. To transfer more efficiently, this paper also proposes a parallel transfer algorithm for every node and replication mechanism. The experiment results have shown it is an effective parallel transfer method, which not only use network bandwidth more, but also reduce the download transfer time.

In this paper, we present a peer-to-peer file sharing platform combined with data grid system for mobile devices. Facing the limit of network bandwidth and unstable signal strength in wireless network, wireless peer-to-peer architecture is now widely accepted as a new computing paradigm for wireless devices. In wireless P2P architecture, one can speedup parallel file transfer and enhance the communication stability by establishing multiple concurrent P2P connections. This paper mainly applies data grid system to deal with the problems of file location discovery and client certification. We propose an architecture that uses GridFTP protocol to establish a video sharing platform for mobile devices. Combined with data grid, the system can perform video analysis and classification upon on its computing resources, keeping the files in the newest state at all times.