DocumentCode :
2762495
Title :
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
Link To Document :
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