Content-based File Sharing in Peer-to-peer Networks Using Threshold
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- 作者：Amol Bhagat ; Radhika Chaudhari ; Kiran Dongre
- 关键词：Content-based file sharing ; interest extracton ; interest oriented file sharing ; peer-to-peer network ; threshold based sharing
- 刊名：Procedia Computer Science
- 出版年：2016
- 出版时间：2016
- 年：2016
- 卷：79
- 期：Complete
- 页码：53-60
- 全文大小：166 K
文摘
In content based file sharing peer-to-peer (P2P) [1] network model nodes share files directly with each other without a centralized server. In such a file sharing system, nodes meet and exchange requests and files in the format of text, short videos, and voice clips in different interest categories. Content is various and large file sharing such as the multimedia content is required with the rapid development of the wireless communication technology. File sharing can also mean having an allocated amount of personal file storage in a common file system. A P2P content based file sharing system, for efficient file searching, threshold takes advantage of node mobility by designating stable nodes, which have the most frequent contact with community members, as community coordinators for intra community searching, and highly mobile nodes that visit other communities frequently as community ambassadors for intercommunity searching. The large file sharing needs more stable end to end path and long transmission time. Last but not least, more relationship between nodes will be used to promote the file sharing process. Content based file sharing is helpful for taking certain decisions during file transmission. These decisions will benefit in proper utilization of network resources. In this paper content-based file sharing scheme using threshold is proposed. The user's interest is determined by the proposed scheme before searching and sharing the files in the peer-to-peer network. The resources in the network are utilized as per the contents of the files to be shared. The performance evaluation show that proposed system significantly lowers transmission cost and improves file sharing success rate compared to current methods.