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一种基于邻居路由表的Chord改进算法 被引量:2

Improved Chord algorithm using neighbors′ routing tables
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摘要 利用空间换取时间的基本思想,提出一种基于邻居路由表的Chord改进算法NRToChord,该算法中每一个节点都维护一个具有更多节点信息的感知表,在路由过程中能够获取到与目标更加接近的下一跳节点,以提高路由效率,满足对路由时延有着更为苛刻要求的应用需要(如紧急通信,实时语音业务等).通过仿真实验证明:该算法在少量增加节点路由表容量的前提下,资源查找过程中的逻辑路由路径长度和物理路由时延都能缩短30%以上. A more efficient Chord-based routing algorithm, named NRToChord using neighbors' routing tables is proposed based on the space-for-time approach, in which each node maintains a learn table for the more routing information of the other nodes in order to increase the routing efficiency by detecting the optimal next-hop node in the hop-by hop routing. That is much more necessary for some time-restricted applications such as emergency communication, real-time voice interaction. Results from theoretical analysis and simulations show that both logical path length and physical end-to-end path latency of our algorithm are shorten above 30% than Chord algorithm with the assist of neighbors' routing tables per node.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2009年第2期49-52,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(60803005)
关键词 对等网络 CHORD算法 路由表 指针表 时延 peer-to-peer(P2P) Chord algorithm routing table finger table latency
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  • 1Suel T,,Mathur C,Wu J W,et al.ODISSEA:apeer-to-peer architecture for scalable web search andinformation retrieval. TR-CIS-2003-01 . 2003
  • 2Michel S,,Triantafillou P,Weikum G.MINERVA∞:a scalable efficient peer-to-peer search engine. Proceedings of Middleware 2005 . 2005
  • 3Zhou J,Li K,Tang L.Towards a fully distributedP2P Web search engine. Proceedings of the 10thIEEE International Workshop on Future Trends ofDistributed Computing Systems . 2004
  • 4Chakrabarti S,Van Den Berg M,Dom B.Focusedcrawling:a new approach to topic-specific web re-source discovery. Computer Networks . 1999
  • 5Ehrig M,Maedche A.Ontology-focused crawling ofWeb documents. Proceedings of the 2003 ACMSymposium on Applied Computing . 2003
  • 6Graupmann J,Biwer M,Zimmer C,et al.COM-PASS:a concept-based Web search engine for HT-ML,XML,and deep Web data. Proceedings ofthe 30th International Conference on Very Large DataBases . 2004
  • 7Rennie J,McCallum A.Using reinforcement learningto spider the Web efficiently. Proceedings of the16th International Conference on Machine Learning . 1999
  • 8Almpanidis G,Kotropoulos C,Pitas I.Focusedcrawling using latent semantic indexing—an applica-tion for vertical search engines. Proceedings ofthe 9th European Conference on Digital Libraries . 2005
  • 9Aggarwal C C,Al-Garawi F,Yu P S.Intelligentcrawling on the world wide Web with arbitrary predi-cates. Proceedings of the 10th International Con-ference on World Wide Web . 2001
  • 10Diligenti M,Coetzee F M,Lawrence S,et al.Fo-cused crawling using context graphs. Proceed-ings of the 26th International Conference on VeryLarge Data Bases . 2000

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