Vertical partitioning algorithms for database design
ACM Transactions on Database Systems (TODS)
Data allocation in distributed database systems
ACM Transactions on Database Systems (TODS)
How to solve it: modern heuristics
How to solve it: modern heuristics
The effects of parallel processing on update response time in distributed database design
ICIS '00 Proceedings of the twenty first international conference on Information systems
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
On Clustering Validation Techniques
Journal of Intelligent Information Systems
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Distribution Design Methodology for Object DBMS
Distributed and Parallel Databases
Distribution Design of Logical Database Schemas
IEEE Transactions on Software Engineering
DB2 design advisor: integrated automatic physical database design
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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In this paper we approach the solution of large instances of the distribution design problem. The traditional approaches do not consider that the size of the instances can significantly reduce the efficiency of the solution process, which only involves a model of the problem and a solution algorithm. We propose a new approach that incorporates multiple models and algorithms and mechanisms for instance compression, for increasing the scalability of the solution process. In order to validate the approach we tested it on a new model of the replicated version of the distribution design problem which incorporates generalized database objects, and a method for instance compression that uses clustering techniques. The experimental results, utilizing typical Internet usage loads, show that our approach permits to reduce at least 65% the computational resources needed for solving large instances, without significantly reducing the quality of its solution.