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.
Type de document :
[Research Report] RR-2704, INRIA. 1995
Liste complète des métadonnées

Littérature citée [28 références]  Voir  Masquer  Télécharger
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 14:14:48
Dernière modification le : mercredi 21 novembre 2018 - 19:26:10
Document(s) archivé(s) le : lundi 5 avril 2010 - 00:03:14



  • 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〉



Consultations de la notice


Téléchargements de fichiers