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L-overlay: A layered data management scheme for peer-to-peer computing - Springer

机译:L-overlay:用于点对点计算的分层数据管理方案-Springer

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摘要

Efficient storage and handling of data stored in a peer-to-peer (P2P) network, proves vital for various applications such as query processing and data mining. This paper presents a distributed, scalable and robust layered overlay (L-overlay) to index and manage multidimensional data in a dynamic P2P network. The proposed method distinguishes between the data and peer layers, with efficient mapping between the two. The data is organized such that semantically similar data objects are accessed hastily. Grid and tree structures are proposed for the peer layer. As application examples of L-overlay in query processing and data mining, k-nearest neighbors query processing and distributed Naïve Bayes classification algorithms, are proposed. We show the effectiveness of our scheme in static and dynamic environments using simulation. L-overlay is shown to be more efficient than SSW, an available semantic overly, in terms of maintenance and query processing costs.
机译:有效存储和处理对等(P2P)网络中存储的数据对于各种应用程序(例如查询处理和数据挖掘)至关重要。本文提出了一种分布式,可扩展且健壮的分层叠加层(L-overlay),用于索引和管理动态P2P网络中的多维数据。所提出的方法区分数据层和对等层,并在两者之间进行有效映射。数据经过组织,可以快速访问语义相似的数据对象。提出了对等层的网格和树结构。作为L覆盖在查询处理和数据挖掘中的应用示例,提出了k最近邻查询处理和分布式朴素贝叶斯分类算法。我们通过仿真展示了该方案在静态和动态环境中的有效性。从维护和查询处理成本的角度来看,L-overlay比SSW(一种可用的语义)效率更高。

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