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Journal ArticleDOI

Federated database systems for managing distributed, heterogeneous, and autonomous databases

Amit P. Sheth, +1 more
- 01 Sep 1990 - 
- Vol. 22, Iss: 3, pp 183-236
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TLDR
In this paper, the authors define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed, and define a methodology for developing one of the popular architectures of an FDBS.
Abstract
A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly heterogeneous. In this paper, we define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed. We then define a methodology for developing one of the popular architectures of an FDBS. Finally, we discuss critical issues related to developing and operating an FDBS.

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Citations
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Book ChapterDOI

Large Multidatabases: Issues and Directions

TL;DR: The size of the multidatabase system is the single most important criterion that shapes the complexity of the problem and as the size becomes larger, new problems related to database autonomy and heterogeneity, as well as user education about available information, surface.
Book ChapterDOI

Access Control for Data Integration in Presence of Data Dependencies

TL;DR: This paper uses a graph-based approach to identify sets of queries, called violating transactions, and proposes an approach to forbid the execution of those transactions by identifying additional access control rules that should be added to the mediator.
Proceedings ArticleDOI

Executing multidatabase transactions

TL;DR: One of such extensions, the flexible transaction model, is described, the scheduling of transactions involving multiple autonomous database systems managed by heterogeneous DBMS is discussed and the scheduling algorithm for flexible transactions is implemented using L.0.
Journal ArticleDOI

A service-oriented system for distributed data querying and integration on Grids

TL;DR: The implementation of a data sharing system that is tailored to data Grids, supports well established and widely spread relational DBMSs, and adopts a hybrid architecture by relying on a peer model for query reformulation to retrieve semantically equivalent expressions is presented.
Journal ArticleDOI

Entity matching in heterogeneous databases: A logistic regression approach

TL;DR: This paper proposes an alternative technique based on logistic regression for estimating the matching probabilities to be used in the matching decision model and indicates that the proposed approach performs quite well and is certainly a viable approach in practical situations.
References
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Book

The entity-relationship model: toward a unified view of data

TL;DR: A data model, called the entity-relationship model, is proposed that incorporates some of the important semantic information about the real world and can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model.
Book

Fundamentals of Database Systems

TL;DR: Fundamentals of Database Systems combines clear explanations of theory and design, broad coverage of models and real systems, and excellent examples with up-to-date introductions to modern database technologies.
Book

An Introduction to Database Systems

C. J. Date
TL;DR: Readers of this book will gain a strong working knowledge of the overall structure, concepts, and objectives of database systems and will become familiar with the theoretical principles underlying the construction of such systems.
Book

Principles of Distributed Database Systems

TL;DR: This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels and concentrates on fundamental theories as well as techniques and algorithms in distributed data management.
Journal ArticleDOI

A comparative analysis of methodologies for database schema integration

TL;DR: The aim of the paper is to provide first a unifying framework for the problem of schema integration, then a comparative review of the work done thus far in this area, providing a basis for identifying strengths and weaknesses of individual methodologies, as well as general guidelines for future improvements and extensions.
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