Title
Attribute Partitioning Algorithm in DOODB
Abstract
In distributed object-oriented databases (DOODB), objects is distributed in different sites on communication networks. In DOODB, class fragmentation to divide a class into fragments is needed for improving performance and for reducing data transfer. Class fragmentation is different from conventional relational databases. We have proposed the vertical class fragmentation to reflect the characteristics of object-oriented databases. In this paper, we define the attribute partitioning algorithm and describe the results of implementation and comparison.
Year
DOI
Venue
1997
10.1109/ICPADS.1997.652619
ICPADS
Keywords
Field
DocType
class fragmentation,object-oriented databases,attribute partitioning algorithm,different site,communication network,conventional relational databases,vertical class fragmentation,relational databases,performance,intelligent networks,data engineering,distributed databases,communication networks,data transfer,distributed computing,computer networks,relational database,distributed objects
Data mining,Telecommunications network,Data transmission,Relational database,Computer science,Algorithm,Fragmentation (computing),Distributed database,Object oriented databases,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-8186-8227-2
1
0.41
References 
Authors
3
2
Name
Order
Citations
PageRank
Soon-Mi Lee121.45
Hae Chull Lim287.76