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引用次数: 2

摘要

在点对点(P2P)网络中,如何有效地定位分布式哈希表中的数据是一个具有挑战性的问题,近年来引起了人们的广泛关注。在讨论数据项的有效位置时,通常会考虑两个度量:路径长度(在覆盖网络上解析查找请求的跳数)和延迟(发出和完成查找之间的实际时间段)。本文提出了一种基于超级节点的区域查找算法(Hierarchical DHT algorithm),该算法根据区域信息和超级节点路由数据键查询,并将手指表保持在两个方向上,以减少原始Chord中手指表的冗余。通过在每个节点的Chord环中只保留O (log2M)个路由信息和M个区域,可以很容易地实现查找过程。理论分析和仿真结果表明,改进后的查找算法具有较高的查找效率和良好的可扩展性。
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Hierarchical Bidirectional Chord
In peer-to-peer (P2P) networks, how to effective locate data on distributed hash tables is challenging and has attracted much research attention in recent years. Two measurements are usually considered when discussing the effective location of data items: the path length (the hop count for resolving a lookup request on the overlay network) and the latency (the actual time period between the issuing and completion of a lookup). In this paper, we propose a regional lookup algorithm based on super-node (Hierarchical DHT Algorithm) that routes data keys queries by region information and super-node, and keeps the finger tables on two directions to reduce the redundancy of finger tables in original Chord. The lookup process can be easily implemented by keeping only O (log2M) routing information with M regions in the Chord ring at each node. Results from theoretical analysis and simulations show that the improved lookup algorithm achieves higher lookup efficiency and scales well.
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