1995Journal of the Association for Information SystemsRequires access

Designing Distributed Database Systems for Efficient Operation

Sangkyu Rho, Salvatore T. March

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Abstract

Distributed database systems can yield significant cost and performance advantages over centralized systems for geographically distributed organizations. The efficiency of a distributed database depends primarily on the data allocation (data replication and placement) and the operating strategies (where and how retrieval and update query processing operations are performed). We develop a distributed database design approach that comprehensively treats data allocation and operating strategies, explicitly modeling their interdependencies for both retrieval and updateprocessing. Wedemonstratethatdatareplication,joinnodeselection,anddatareductionbysemijoinare important design and operating decisions that have significant impact on both the cost and response time of a distributed database system.

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What this paper is about

Distributed database systems can yield significant cost and performance advantages over centralized systems for geographically distributed organizations. The efficiency of a distributed database depends primarily on the data allocation (data replication and placement) and the operating strategies (where and how retrieval and update query processing operations are performed). We develop a distributed database design approach that comprehensively treats data allocation and operating strategies, explicitly modeling their interdependencies for both retrieval and updateprocessing. Wedemonstratethatdatareplication,joinnodeselection,anddatareductionbysemijoinare important design and operating decisions that have significant impact on both the cost and response time of a distributed database system.

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Available abstract

Distributed database systems can yield significant cost and performance advantages over centralized systems for geographically distributed organizations. The efficiency of a distributed database depends primarily on the data allocation (data replication and placement) and the operating strategies (where and how retrieval and update query processing operations are performed). We develop a distributed database design approach that comprehensively treats data allocation and operating strategies, explicitly modeling their interdependencies for both retrieval and updateprocessing. Wedemonstratethatdatareplication,joinnodeselection,anddatareductionbysemijoinare important design and operating decisions that have significant impact on both the cost and response time of a distributed database system.

Key concepts: Computer science, Distributed database, Replication (statistics), Distributed computing, Database, Database testing, Database tuning, Distributed data store

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