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A Survey of Distributed Search Techniques in Large Scale Distributed Systems

机译:大规模分布式系统中分布式搜索技术的研究

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Peer-to-peer (P2P) technology has triggered a wide range of distributed applications beyond simple file-sharing. Distributed XML databases, distributed computing, server-less web publishing and networked resource/service sharing are only a few to name. Despite of the diversity in applications, these systems share a common problem regarding searching and discovery of information. This commonality stems from the transitory nodes population and volatile information content in the participating nodes. In such dynamic environment, users are not expected to have the exact information about the available objects in the system. Rather queries are based on partial information, which requires the search mechanism to be flexible. On the other hand, to scale with network size the search mechanism is required to be bandwidth efficient. In this survey, we identify the search requirements in large scale distributed systems and investigate the ability of the existing search techniques in satisfying these requirements. Representative search techniques from P2P content sharing, service discovery and P2P databases are considered in this work.
机译:点对点(P2P)技术已触发了除简单文件共享之外的各种分布式应用程序。分布式XML数据库,分布式计算,无服务器Web发布和联网的资源/服务共享仅举几例。尽管应用程序多样化,但这些系统在信息搜索和发现方面存在一个共同的问题。这种共同性源于参与节点中的过渡节点数量和易变信息内容。在这种动态环境中,不希望用户拥有有关系统中可用对象的确切信息。更确切地说,查询基于部分信息,这要求搜索机制必须灵活。另一方面,为了随网络规模扩展,搜索机制需要具有带宽效率。在这项调查中,我们确定了大型分布式系统中的搜索需求,并研究了现有搜索技术满足这些需求的能力。这项工作考虑了来自P2P内容共享,服务发现和P2P数据库的代表性搜索技术。

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