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DEAON: dynamically-evolving active overlay networks for scalable information retrieval
引用本文:黄新力,Ma,Fanyuan. DEAON: dynamically-evolving active overlay networks for scalable information retrieval[J]. 高技术通讯(英文版), 2007, 13(4): 413-417
作者姓名:黄新力  Ma  Fanyuan
作者单位:Huang Xinli(Department of Computer Science and Technology, East China Normal University, Shanghai 200241, P.R.China) ;Ma Fanyuan(Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R.China) ;
基金项目:国家高技术研究发展计划(863计划)
摘    要:


关 键 词:活性覆盖网络  信息检索  拓扑学  信息提取

DEAON: dynamically-evolving active overlay networks for scalable information retrieval
Huang Xinli,Ma Fanyuan. DEAON: dynamically-evolving active overlay networks for scalable information retrieval[J]. High Technology Letters, 2007, 13(4): 413-417
Authors:Huang Xinli  Ma Fanyuan
Affiliation:1. Department of Computer Science and Technology, East China Normal University, Shanghai 200241, P.R.China
2. Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R.China
Abstract:
In this paper,we propose the dynamically-evolving active overlay network(DEAON),which is an efficient,scalable yet simple protocol to facilitate applications of decentralized information retrieval in P2P networks.DEAON consists of three novel components:a Desirable Topology Construction and Adantation algorithm to guide the evolution of the overlay topology towards a small-world-like graph;a Semantic-based Neighbor Selection scheme to conduct an online neighbor ranking;a Topology-aware Intelligent Search mechanism to forward incoming queries to deliberately selected neighbors.We deploy and compare DEAON with other several existing distributed search techniques over static and dynamic environments.The results indicate that DEAON outperforms its competitors by achieving higher recall rate while using much less network resources,in both of the above environments.
Keywords:active overlay networks  information retrieval  search  topological properties  small world
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