Name
Abstract | ||
|---|---|---|
In distributed object-oriented databases(DOODB), objects are distributed in different sites on a communication network. A class fragmentation that divides a class into several fragments is needed for improving performance and for reducing repetition and duplication of data transmission. It is proposed the vertical class fragmentation to reflect the characteristics of object-oriented database such as method, inheritance and composite-object. In this paper, we define the objective function for allocation considering system to save cost including storage, query processing and communication and implemented it using genetic algorithm. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/SNPD.2009.78 | SNPD |
Keywords | Field | DocType |
vertical class fragmentation,doodb,fragmentation,class allocation,distributed object-oriented database,objective function,object-oriented databases,allocation,inheritance,class fragmentation,genetic algorithm,communication network,data transmission,different site,repetition reduction,distributed databases,query processing,object-oriented database,software engineering,genetic algorithms,distributed computing,artificial intelligence,cost function,encapsulation,computer networks,communication networks,distributed objects,reflection,resource management,databases,probability density function,data mining | Resource management,Distributed object,Telecommunications network,Data transmission,Computer science,Fragmentation (computing),Distributed database,Probability density function,Genetic algorithm,Database,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-3642-2 | 1 | 0.36 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soon-Mi Lee | 1 | 2 | 1.45 |
| Yan Ha | 2 | 1 | 0.36 |
| Hea-Sook Park | 3 | 28 | 6.52 |