A Task Balancing and Collaborative Strategy for View Maintenance Based on CSCW

Author

Zuo, Yayao ; Tang, Yong ; Shu, Zhongmei

Author_Institution

Dept. of Comput. Sci., Sun Yat-sen Univ., GuangZhou

fYear

2006

fDate

3-5 May 2006

Firstpage

1

Lastpage

6

Abstract

Materialized view (MV) maintenance is an important research area in the database and data warehouse area. Currently, most of the MV maintenance methods are based on the C/S or B/S model, and the MV tasks are recomputed sequentially, which cause the system to overload and even crash. To address the problem, decomposition of the maintenance task is explored based on task balancing collaborative strategy, which is also applicable to the CSCW systems for managing, searching and processing data

Keywords

data warehouses; groupware; resource allocation; CSCW; computer supported collaborative work; data warehouse; database; materialized view maintenance; task balancing; task decomposition; Collaborative work; Computational Intelligence Society; Computer crashes; Data warehouses; Database systems; International collaboration; Load management; Parallel processing; Scalability; Sun; CSCW; Collaborative; Decomposition; Parallel; View maintenance;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Supported Cooperative Work in Design, 2006. CSCWD '06. 10th International Conference on

Conference_Location

Nanjing

Print_ISBN

1-4244-0164-X

Electronic_ISBN

1-4244-0165-8

Type

conf

DOI

10.1109/CSCWD.2006.253051

Filename

4019087