• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

A Method for Distributed Database Processing with Optimized Communication Cost in Dataflow model


Byung-Uk Jun, Journal of Internet Computing and Services, Vol. 8, No. 1, pp. 133-0, Feb. 2007
Full Text:
Keywords: Multiprocessor, Distributed Database, Dataflow, Allocation, Communication Cost

Abstract

Large database processing is one of the most important technique in the information society, Since most large database is regionally distributed, the distributed database processing has been brought into relief. Communications and data compressions are the basic technologies for large database processing. In order to maximize those technologies, the execution time for the task, the size of data, and communication time between processors should be considered. In this paper, the dataflow scheme and vertically layered allocation algorithm have been used to optimize the distributed large database processing. The basic concept of this method is rearrangement of processes considering the communication time between processors. The paper also introduces measurement model of the execution time, the size of output data, and the communication time in order to implement the proposed scheme.


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Cite this article
[APA Style]
Byung-Uk Jun (2007). A Method for Distributed Database Processing with Optimized Communication Cost in Dataflow model. Journal of Internet Computing and Services, 8(1), 133-0.

[IEEE Style]
B. Jun, "A Method for Distributed Database Processing with Optimized Communication Cost in Dataflow model," Journal of Internet Computing and Services, vol. 8, no. 1, pp. 133-0, 2007.

[ACM Style]
Byung-Uk Jun. 2007. A Method for Distributed Database Processing with Optimized Communication Cost in Dataflow model. Journal of Internet Computing and Services, 8, 1, (2007), 133-0.