NDLI: Data integration strategy for database grids based on P2P framework

Content Provider	Springer Nature Link
Author	Guangqi, Wang Derong, Shen Ge, Yu Wensheng, Zhou Meifang, Li
Copyright Year	2006
Abstract	The differences between the data integration of a dynamic database grid (DBG) and that of a distributed database system are analyzed, and three kinds of data integration strategies are given on the background of DBG based on Peer to Peer (P2P) framework, including the centralized data integration (CDI) strategy, the distributed data integration (DDI) strategy and the filter-based data integration (FDDI) strategy. CDI calls all the database grid services (DGSs) at a single node, DDI disperses the DGSs to multiple nodes, while FDDI schedules the data integration nodes based on filtering the keywords returned from DGSs. The performance of these three integration strategies are compared with and analyzed by simulation experiments. FDDI is more evident for filtering the keywords with data redundancy increasing. Through the reduction of large amount of data transportation, it effectively shortens the executing time for the task and improves its efficiency.
Starting Page	1182
Ending Page	1186
Page Count	5
File Format	PDF
ISSN	10071202
Journal	Wuhan University Journal of Natural Sciences
Volume Number	11
Issue Number	5
e-ISSN	19934998
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-01-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	database grid data integration Peer to Peer (P2P) Mathematics Computer Science Physics Life Sciences
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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