Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7142
Title: Mobile join operators for restricted sources
Authors: Özakar, Belgin
Morvan, Franck
Hameurlain, Abdelkader
Keywords: Adaptive query execution
Mobile agents
Performance evaluation
Virtual data integration
Restricted sources
Publisher: Hindawi Publishing Corporation
Source: Özakar, B., Morvan, F., Hameurlain, A. (2005). Mobile join operators for restricted sources. Mobile Information Systems, 1(3), 167-184. doi:10.1155/2005/705348
Abstract: We consider the problem of query execution when there is limited access to the relations, i.e. when binding patterns require values to be specified in order to get data from the relation. This problem is common in virtual data integration systems where there are heterogeneous sources with various restricted access patterns and query capabilities. Another problem is the lack of the statistical information about the sources and occurrence of unpredictable events. We introduce two mobile join operators, MDJoin and SMDJoin which are designed for restricted sources and implemented using ‘mobile agents’ in order to benefit from their autonomous and reactive characteristics. Mobile operators of restricted sources are capable to deal with restricted sources and react to the variations between the compile-time estimations and run-time computations of data during query execution. The difference between the two new query operators lies in their level of adaptation ability to the execution environment. Performance results show that mobile agent-based approach at operator level can lead to a significant reduction in response time with restricted sources.
URI: http://dx.doi.org/10.1155/2005/705348
http://hdl.handle.net/11147/7142
ISSN: 1875-905X
1574-017X
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
7142.pdfMakale (Article)1.63 MBAdobe PDFThumbnail
View/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

18
checked on Nov 15, 2024

WEB OF SCIENCETM
Citations

10
checked on Nov 9, 2024

Page view(s)

282
checked on Nov 18, 2024

Download(s)

148
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.