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Distributed Real-Time Organization and Scheduling Strategy of Massive Grid Data

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5 Author(s)
Ying Huang ; China Univ. of Geosci., Wuhan, China ; Zhong Xie ; Liang Wu ; Mingqiang Guo
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In order to solve the two deficiencies in existing massive grid data organization and scheduling: the lack of a universal distributed management method; time-consuming and complex precutting processes, a new strategy is proposed in this paper. It abandons the whole precutting processes in the traditional way. From the view of high efficiency, the new strategy integrates the pre-cutting method and real-time buffer mechanism. In lower map levels, the data can be organized by the pre-cutting technique, but it is organized by real-time buffer mechanism in higher map levels. We represent the strategy in detail by a concrete example. The empirical results shows that the new strategy can effectively solve the two deficiencies above and implements a class of problems with massive grid data distributed real-time organization and scheduling.

Published in:

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on  (Volume:2 )

Date of Conference:

24-26 April 2009