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RDFPeers: A Scalable Distributed RDF Repository based on A Structured PeertoPeer Network

机译:RDFPEERS:基于结构化Peertipeer网络的可伸缩分布式RDF存储库

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Centralized Resource Description Framework (RDF) repositories have limitations both in their failure tolerance and in their scalability. Existing Peer-to-Peer (P2P) RDF repositories either cannot guarantee to find query results, even if these results exist in the network, or require up-front definition of RDF schemas and designation of super peers. We present a scalable distributed RDF repository (“RDFPeers”) that stores each triple at three places in a multi-attribute addressable network by applying globally known hash functions to its subject, predicate, and object. Thus, all nodes know which node is responsible for storing triple values they are looking for, and both exact-match and range queries can be effi- ciently routed to those nodes. RDFPeers has no single point of failure nor elevated peers, and does not require the prior definition of RDF schemas. Queries are guaranteed to find matched triples in the network if the triples exist. In RDFPeers, both the number of neighbors per node and the number of routing hops for inserting RDF triples and for resolving most queries are logarithmic to the number of nodes in the network. We further performed experiments that show that the triple-storing load in RDFPeers differs by less than an order of magnitude between the most and the least loaded nodes for real-world RDF data.
机译:集中式资源描述框架(RDF)存储库在其故障公差和可伸缩性中具有限制。现有的点对点(P2P)RDF存储库无法保证查找查询结果,即使网络中存在这些结果,或者需要rdf模式的上部定义和超级对等体的指定。我们呈现可扩展的分布式RDF存储库(“RDFPEERS”),它通过将全局已知的散列函数应用于其主题,谓词和对象,在多属性可寻址网络中存储每个三倍。因此,所有节点都知道哪个节点负责存储它们正在寻找的三重值,并且可以对这些节点进行精确匹配和范围查询。 RDFPEERS没有单点故障或同行升高,并且不需要先前的RDF模式定义。如果存在三元组,则保证查询在网络中查找匹配的三级。在RDFPEERS中,每个节点的邻居数量和用于插入RDF三维的路由跳数以及用于解析大多数查询的路由跳数都是对数的对数到网络中的节点的数量。我们进一步执行了实验,表明RDFPeers中的三储存负载在现实世界RDF数据的最低负载节点之间的数量级不到幅度。

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