A NEW APPROACH IN FRAGMENTATION OF DISTRIBUTED OBJECT ORIENTED DATABASES USING CLUSTERING TECHNIQUES
| Citations: | 1 - 0 self |
BibTeX
@MISC{Darabant_anew,
author = {Adrian Sergiu Darabant},
title = {A NEW APPROACH IN FRAGMENTATION OF DISTRIBUTED OBJECT ORIENTED DATABASES USING CLUSTERING TECHNIQUES},
year = {}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
Abstract. Horizontal fragmentation plays an important role in the design phase of Distributed Databases. Complex class relationships: associations, aggregations and complex methods, require fragmentation algorithms to take into account the new problem dimensions induced by these features of the object oriented models. We propose in this paper a new method for horizontal partitioning of classes with complex attributes and methods, using AI clustering techniques. We provide quality and performance evaluations using a partition evaluator function and we prove that fragmentation methods handling complex interclass links produce better results than those ignoring these aspects. 1.
