A data structure for dynamic trees
Journal of Computer and System Sciences
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
EDBT '90 Proceedings of the 2nd international conference on extending database technology: Advances in Database Technology
Inheritance in computer-aided design databases: semantics and implementation issues
Computer-Aided Design
A study of three alternative workstation server architectures for object-oriented database systems
Proceedings of the sixteenth international conference on Very large databases
Effective clustering of complex objects in object-oriented databases
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Building an object-oriented database system: the story of 02
Building an object-oriented database system: the story of 02
A randomized linear-time algorithm for finding minimum spanning trees
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
An empirical study of dynamic graph algorithms
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Optimal file designs and reorganization points
ACM Transactions on Database Systems (TODS)
Performance Evaluation of New Clustering Algorithm in Object-Oriented Database Systems
DEXA '96 Proceedings of the 7th International Conference on Database and Expert Systems Applications
VERSANT Architecture: Supporting High-Performance Object Databases
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
Sparsification-a technique for speeding up dynamic graph algorithms
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
Logically Clustered Architectures for Networked Databases
Distributed and Parallel Databases
Opportunistic Prioritised Clustering Framework (OPCF)
Proceedings of the International Symposium on Objects and Databases
Opportunistic prioritised clustering framework for improving OODBMS performance
Journal of Systems and Software
Online monitoring and visualisation of database structural deterioration
International Journal of Autonomic Computing
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We consider the problem of optimizing the number of I/O operations by means of an effective clustering with the objective to overcome defficiencies of existing solutions. Our objective is to dynamically adapt physical database organizations, on-line, according to the access patterns of the users without adding significant overhead on processing workload. We propose a clustering schedule that may be convenient for any Object Database Management Systems [ODBMS]; it combines flexibility, dynamics, and efficiency. This paper describes relative partial validation of our approach using Versant.