ACM Transactions on Computer Systems (TOCS)
An introduction to data base design
An introduction to data base design
A shared, segmented memory system for an object-oriented database
ACM Transactions on Information Systems (TOIS)
Clustering a DAG for CAD Databases
IEEE Transactions on Software Engineering
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Cactis: a self-adaptive, concurrent implementation of an object-oriented database management system
ACM Transactions on Database Systems (TODS)
The performance and utility of the Cactis implementation algorithms
Proceedings of the sixteenth international conference on Very large databases
An incremental join attachment for Starburst
Proceedings of the sixteenth international conference on Very large databases
A stochastic approach for clustering in object bases
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Effective clustering of complex objects in object-oriented databases
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
ACM Transactions on Database Systems (TODS)
On the performance of object clustering techniques
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Clustering techniques in object bases: a survey
Data & Knowledge Engineering
A status report on the OO7 OODBMS benchmarking effort
OOPSLA '94 Proceedings of the ninth annual conference on Object-oriented programming systems, language, and applications
Self-adaptive, on-line reclustering of complex object data
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Towards effective and efficient free space management
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
IEEE Transactions on Knowledge and Data Engineering
Starburst Mid-Flight: As the Dust Clears
IEEE Transactions on Knowledge and Data Engineering
Partition-Based Clustering in Object Bases: From Theory to Practice
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
Back to the Future: Dynamic Hierarchical Clustering
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
PIXSAR: incremental reclustering of augmented XML trees
Proceedings of the 10th ACM workshop on Web information and data management
Online reorganization of databases
ACM Computing Surveys (CSUR)
iPIXSAR: incremental clustering of indexed XML data
Proceedings of the 2009 EDBT/ICDT Workshops
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We consider the problem of delivering an effective fine-grained clustering tool to implementors and users of object-oriented database systems. This work emphasizes on-line clustering mechanisms, as contrasted with earlier work that concentrates on clustering policies (deciding which objects should be near each other). Existing on-line clustering methods can be ineffective and/or difficult to use and may lead to poor space utilization on disk and in the disk block cache, particularly for small- to medium-size groups of objects. We introduce variable-size clusters (Vclusters), a fine-grained object clustering architecture that can be used directly or as the target of an automatic clustering algorithm. We describe an implementation of Vclusters in the Shore OODBMS and present experimental results that show that Vclusters significantly outperform other mechanisms commonly found in object database systems (fixed-size clusters and near hints). Vclusters deliver excellent clustering and space utilization with only a modest cost for maintaining clustering during updates.