Databases, Info Systems, and Peer-to-Peer Computing [1st

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Additional resources for Databases, Info Systems, and Peer-to-Peer Computing [1st Intl wkshop]

Sample text

To generate data locality, with DHT both nodes and data items are randomly assigned unique identifiers from a virtual identifer space. Each data item (or pointer to the data item) is stored at the node with the closest identifier to the identifier of the data item. Finally, nodes are interconnected via a regular topology, where nodes that are close in the identifier space are highly interconnected. DHT topology is regulated: all nodes have the same connectivity (same number of neighbors), and selection of the neighbors is strictly dictated by the semantics of the DHT interconnections.

Similarly, [26] and [9] employ the traditional hierarchy scheme, and [23] uses a hypercube structure to organize the network. Here, we propose an organization scheme based on a small-world model, which as a natural organization model completely respects componental characteristics of the QDN nodes and allows highly efficient query processing as exemplified by the well-known small-world phenomenon. Finally, with “semantic overlays” [8, 7], network nodes are clustered into distinct overlays based on the semantic similarity of their data content in order to create data localities.

1 Introduction Current peer-to-peer (P2P) networks support only limited meta data sets such as simple filenames. Recently a new class of peer-to-peer networks, so called schema based peer-topeer networks have emerged (see [1,2,3,4,5]), combining approaches from peer-to-peer research as well as from the database and semantic web research areas. Such networks build upon peers that use explicit schemas to describe their content. The meta data describing peers is based on heterogeneous schemata. They allow the aggregation and integration of data from autonomous, distributed data sources.

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