P2P-Join:基于关键字的关系数据库对等系统连接操作

Zhigang Chen, Zhongding Huang, Bo Ling, Jiang Li
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引用次数: 2

摘要

在这个计算时代,按关键字查询是最流行的数据搜索方式。然而,大多数工作都是针对搜索集中式关系数据库提出的。本文研究如何在支持关系数据库的点对点系统中部署关键字搜索。与集中式系统不同,这种新的计算范式的主要挑战来自于对等体的自主性、缺乏全局模式以及对等体连接的动态性。首先,提出了P2P-join的概念,它是一种连接操作,用于将查询中包含特定关键字的不同对等体之间的关系组合在一起。其次,设计了一个实现p2p连接处理的全分布式框架,该框架既继承了传统连接的语法和语义,又保留了对等计算的思想。最后,提出了两种机制来提高操作的性能:连接路径选择顺序方案和基于推送的跨节点负载平衡机制
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P2P-Join: A Keyword Based Join Operation in Relational Database Enabled Peer-to-Peer Systems
Query-by-keywords is the most popular manner to search for data in this computing age. However, most work was proposed for searching centralized relational databases. This paper investigates how keyword search is to be deployed in relational database-enabled peer-to-peer systems. Unlike centralized system, the key challenges in this new computing paradigm come from the autonomy of peers, the lack of a global schema, and the dynamics of the peer connectivity. First, the concept of P2P-join is proposed, which is a join operation to combine tuples among relations from different peers containing certain keywords in the query. Second, a fully distributed framework to realize P2P-join processing is devised, which not only inherits the syntax and semantics of traditional join but also cherishes the ideology of peer-to-peer computing. Finally, two mechanisms are proposed to improve the performance of the operation: a join path selecting order scheme and a push-based load balancing mechanism across peers
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