A Positive Preprocessing Framework for Mapping Traditional Replica Selection Algorithms

Author

Jiang, Jianhua ; Xu, Gaochao ; Wei, Xiaohui ; Zhou, Ruihong

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun

Volume

1

fYear

2008

fDate

3-4 Aug. 2008

Firstpage

13

Lastpage

17

Abstract

Replica selection algorithms in data grid have been proposed to improve the processing capability of data intensive jobs. However, the processing time of these algorithms is increased rapidly with the increase of grid sites and replicas in data grid. To solve this problem, a positive preprocessing framework for mapping traditional replica selection algorithms based on OLAP, named as OLAP4RS, is proposed. Its architecture, processing procedure, and mapping mechanism are discussed.

Keywords

data analysis; data mining; grid computing; OLAP4RS; data grid; data intensive jobs; grid sites; positive preprocessing framework; processing capability; traditional replica selection algorithms; Bandwidth; Computer architecture; Computer science; Concrete; Dynamic scheduling; Educational institutions; Educational technology; Grid computing; Processor scheduling; Resource management; data grid; preprocessing framework; replica selection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3290-5

Type

conf

DOI

10.1109/CCCM.2008.185

Filename

4609459