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Scaling Heterogeneous Databases and the Design of Disco

Abstract : Access to large numbers of data sources introduces new problems for users of heterogeneous distributed databases. End users and application programmers must deal with unavailable data sources. Database administrators must deal with incorporating each new data source into the system. Database implementors must deal with the transformation of queries between query languages and schemas. The Distributed Information Search COmponent ({\sc Disco}) addresses these problems. Query processing semantics give meaning to queries that reference unavailable data sources. Data modeling techniques manage connections to data sources. The component interface to data sources flexibly handles different query languages and different interface functionalities. This paper describes in detail (a) the distributed mediator architecture of {\sc Disco}, (b) its query processing semantics, (c) the data model and its modeling of data source connections, and (d) the interface to underlying data sources. We describe several advantages of our system and describe the internal architecture of our planned prototype.
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Submitted on : Wednesday, May 24, 2006 - 2:14:48 PM
Last modification on : Friday, February 4, 2022 - 3:10:15 AM
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  • HAL Id : inria-00073986, version 1



Anthony Tomasic, Louiqa Raschid, Patrick Valduriez. Scaling Heterogeneous Databases and the Design of Disco. [Research Report] RR-2704, INRIA. 1995. ⟨inria-00073986⟩



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