A systematic approach to the integration of overlapping partitions in service-oriented data grids

Date

2011-06-01

Author

Sunercan, H. Kevser
Alpdemir, M. Nedim
Çiçekli, Fehime Nihan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper aims to provide a service-oriented data integration solution over data Grids for cases where distributed data sources are partitioned with overlapping sections of various proportions. This is an interesting variation which combines both replicated and partitioned data within the same data management framework. Thus, the data management infrastructure has to deal with specific challenges regarding the identification, access and aggregation of partitioned data with varying proportions of overlapping sections. In order to provide a solution we have extended a well-known data access and integration middleware, namely Open Grid Services Architecture-Data Access and Integration Distributed Query Processing (OGSA-DAI DQP), with distributed query processing facilities, by incorporating the new 'UnionPartitions' operator into its algebra in order to cope with various unusual forms of horizontally partitioned databases. Our solution extends OGSA-DAI DQP in two aspects: (1)a new operator type is added to the algebra to handle the union of the partitions with different characteristics, and (2)OGSA-DAI DQP Federation Description is extended to include some more metadata to facilitate the successful execution of the newly introduced operator.

Subject Keywords

Computer Networks and Communications, Hardware and Architecture, Software

URI

https://hdl.handle.net/11511/62865

Journal

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

DOI

https://doi.org/10.1016/j.future.2010.12.011

Collections

Department of Computer Engineering, Article

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Citation Formats

H. K. Sunercan, M. N. Alpdemir, and F. N. Çiçekli, “A systematic approach to the integration of overlapping partitions in service-oriented data grids,” FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, pp. 667–680, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62865.