Organization scheduling method and device for natural resource scene data and storage medium

Abstract

The embodiment of the invention discloses an organization scheduling method and device for natural resource scene data, and a medium, and the method comprises the steps: constructing a space-time relation graph index according to the natural resource scene data and the attribute features and association relation thereof, wherein high-performance processing and low-latency access of natural resource scene data are achieved through the space-time relation graph index; when a query request is obtained, querying corresponding target natural resource scene data from the space-time relationship graph index; adjusting data configuration of a cache node and a storage node in a pre-established data resource scheduling model according to the extracted feature information of the target natural resource scene data; and performing data flow maximization processing on the adjusted data resource scheduling model by using a heuristic maximum flow algorithm to obtain a maximum flow path set of the target natural resource scene data. The data resource scheduling model can adaptively adjust the flow of various types of data, improves the accuracy of data services, and achieves the efficient scheduling of large-scale high-concurrency task data.

Description

technical field [0001] The present invention relates to the technical field of geospatial information, in particular to a method, device and computer-readable storage medium for organizing and scheduling natural resource scene data. Background technique [0002] With the rapid development of the mobile Internet, the Internet of Things and social networks, a large amount of heterogeneous and dynamically related multi-modal natural resource scene data will be generated every moment in smart cities. The ever-increasing multi-modal natural resource scene data contains rich knowledge and laws, which urgently need real-time and efficient processing, analysis and display. [0003] Existing scheduling methods mainly rely on data preprocessing such as Lodization, index building, etc., data simplification and other optimization methods. However, it mainly focuses on graphics algorithms, and improves graphics rendering capabilities by reducing the amount of geometry that needs to be d...

AI Technical Summary

Problems solved by technology

Does not take into account the increase in task concurrency during the scheduling process, the impact of changes in task characteristics on server performance and global bandwidth throughput, and lacks collaborative scheduling of visualization system resources

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