RESEARCH ON SEARCH INTELLIGENCE SYSTEM BASED ON PEER TO PEER MODEL

摘要：

This study aimed to develop a secure, peer to peerbased search intelligence system. The system mentioned in this paper which using the desktop search technology based on metadata can reduce the need of the central server by introducing the parallel computing. We focus on solving the problems including privacy, security and incompletion by introducing a new architecture. The infrastructure provided by the search engine can be utilized to simplify the users action as well. The system first finishes metadata retrieval, then submits those metadata to the system to let other nodes know these data. The central server helps the nodes to communicate with each other, schedules the nodes actions and track their states. The result shows that the consuming work is moving to the client side, leaving only some analysis work to the server.

关键词： Intelligence system peer to peer parallel programming

作者: YAQUN GAO

作者单位: Tianjin Vocational Institute

会议类型: 国际会议

会议名称: 3rd International Conference on Mechanical and Electrical Technology(ICMET2011) (2011第三届机械与电气技术国际会议)

会议地点: 大连

会议语种:英文

页码: 269-273

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）