Peer-to-peer in metric space and semantic space
文献类型:期刊论文
作者 | Hai Zhuge; Li, Xiang |
刊名 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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出版日期 | 2007-06-01 |
卷号 | 19期号:6页码:759-771 |
关键词 | gossip metric space peer-to-peer rank semantics semantic link network |
ISSN号 | 1041-4347 |
DOI | 10.1109/TKDE.2007.1035 |
英文摘要 | This paper first proposes three improved gossip mechanisms by mapping links into metric space and dynamically adapting the number of selected neighbors to disseminate messages. Experiments and comparisons show that these mechanisms can improve the performance of gossip in peer-to-peer ( P2P) networks. This is the effect of mapping a network into a metric space that differentiates nodes and links according to linking characteristics and controlling local information flow with knowing such differences. A further study about query routing on P2P semantic link network shows that mapping a network into a semantic space can also improve the performance. An intrinsic rule is found by experimental comparisons and analysis: The performance of a P2P network can be improved by designing an appropriate mapping from the network into metric space or semantic space. A general framework for networking with metric space and semantic space is suggested. |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000245756200003 |
出版者 | IEEE COMPUTER SOC |
源URL | [http://119.78.100.204/handle/2XEOYT63/10986] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Hai Zhuge |
作者单位 | Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Hai Zhuge,Li, Xiang. Peer-to-peer in metric space and semantic space[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2007,19(6):759-771. |
APA | Hai Zhuge,&Li, Xiang.(2007).Peer-to-peer in metric space and semantic space.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,19(6),759-771. |
MLA | Hai Zhuge,et al."Peer-to-peer in metric space and semantic space".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 19.6(2007):759-771. |
入库方式: OAI收割
来源:计算技术研究所
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