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

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.