Space-time data visualization task execution method based on cloud edge-end architecture

A spatiotemporal data and task execution technology, applied in the fields of electrical digital data processing, multi-programming device, program control design, etc., can solve the problems of low efficiency of visual processing of spatiotemporal data, and achieve the effect of flexible deployment and improved efficiency.

Inactive Publication Date: 2021-06-25
SHENZHEN UNIV
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Problems solved by technology

[0004] The main purpose of the present invention is to provide a spatio-temporal data visualization task execution method based on cloud-edge-device architecture, aiming to solve the problem of low processing efficiency of spatio-temporal data visualization in the prior art

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  • Space-time data visualization task execution method based on cloud edge-end architecture
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[0032] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] The method for performing spatio-temporal data visualization tasks based on the cloud-edge-device architecture described in the preferred embodiment of the present invention uses theoretical methods such as computer graphics and three-dimensional geographic information system (Geographic Information System or Geo-Information system, GIS) expression. Based on the application requirements of multi-level, diverse and highly concurrent multi-modal spatio-temporal data visualization in the cloud-edge-end application environment, it is constructed through the cloud-edge-end integrated sc...

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Abstract

The invention discloses a space-time data visualization task execution method based on a cloud edge-end architecture, and the method comprises the steps: obtaining a space-time data visualization task, and carrying out the task layering, and obtaining a plurality of visualization sub-tasks; for each visual sub-task, determining a plurality of scheduling tasks corresponding to the visual sub-task according to scheduling resources corresponding to the visual sub-task, the scheduling resources being stored in a cloud side end; and performing fine-grained decomposition and combination on the scheduling task to obtain a plurality of task sets, determining resource information corresponding to each task set and establishing a scheduling process corresponding to the space-time data visualization task. According to the method, the space-time data visualization task is divided into the visualization sub-tasks of different levels, and the scheduling process under the cloud side end architecture is effectively generated according to the corresponding scheduling resources, so that the execution process of the spatio-temporal data visualization task is adjusted, and the execution efficiency of the visualization task is improved.

Description

technical field [0001] The present invention relates to the field of spatio-temporal data visualization, in particular to a method for executing spatio-temporal data visualization tasks based on cloud-edge-device architecture. Background technique [0002] With the popularity of the Internet and terminal devices, a large amount of spatio-temporal data can be collected through positioning and other methods. Precise spatio-temporal recommendation and prediction services can be performed based on spatio-temporal data. For example, recommend appropriate traffic routes according to the user's spatio-temporal changes when riding a car. However, with the passage of time, more and more spatio-temporal data, so there is a higher demand for the diversified processing of multi-modal spatio-temporal data, high concurrency and high real-time is the most common demand for spatio-temporal data. [0003] Nowadays, in order to achieve high concurrency and high real-time processing of multi...

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Application Information

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IPC IPC(8): G06F9/48G06F9/50
CPCG06F9/4881G06F9/5027G06F9/5072
Inventor 李晓明刘铭崴王伟玺郑晔夏吉喆贺彪郭仁忠
Owner SHENZHEN UNIV
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