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Abstract: We present the systematic design and development of a distributed query scheduling service (DQS) in the context of DIOM, a distributed and interoperable query mediation system [26]. DQS consists of an extensible architecture for distributed query processing, a three-phase optimization algorithm for generating efficient query execution schedules, and a prototype implementation. Functionally, two important execution models of distributed queries, namely moving query to data or moving data to... (Update)
Context of citations to this paper: More
.... for the different applicational domains, such as Salamander [MJS97] Siena [Car98] Keryx [BK97a, BK97b, LRW97] or OpenCQ [LPT99, PL98, LPR98] and Conquer [LPTH99] The underlying models of these services do not meet al.l requirements found in applications suitable for wide...
...issue in their work. Finally, parallel plans (or joins over unions) are quite standard in distributed parallel database systems [LPR98; OV99] Use of parallel plans in dataintegration scenarios does however pose several special challenges because of the uncontrolled...
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BibTeX entry: (Update)
L. Liu, C. Pu, and K. Richine. Distributed query scheduling service: An architecture and its implementation. International Journal of Cooperative Information Systems (IJCIS), 7(2&3), 1998. http://citeseer.ist.psu.edu/article/liu98distributed.html More
@article{ liu98distributed,
author = "Ling Liu and Calton Pu and Kirill Richine",
title = "Distributed Query Scheduling Service: An Architecture and Its Implementation",
journal = "International Journal of Cooperative Information Systems",
volume = "7",
number = "2-3",
pages = "123-166",
year = "1998",
url = "citeseer.ist.psu.edu/article/liu98distributed.html" }
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