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A Coordinated Scheduling Method for Cloud-Edge-End Resources Driven by Spatiotemporal Data Visualization Tasks

A space-time data, task-driven technology, applied in resource allocation, electrical digital data processing, multi-program device, etc., can solve the problem of low efficiency of space-time data visualization

Active Publication Date: 2021-08-24
SHENZHEN UNIV
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Problems solved by technology

[0005] The main purpose of the present invention is to provide a space-time data visualization task-driven collaborative scheduling method for cloud-side-device resources, aiming to solve the problem of low efficiency of space-time data visualization in the prior art

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  • A Coordinated Scheduling Method for Cloud-Edge-End Resources Driven by Spatiotemporal Data Visualization Tasks
  • A Coordinated Scheduling Method for Cloud-Edge-End Resources Driven by Spatiotemporal Data Visualization Tasks
  • A Coordinated Scheduling Method for Cloud-Edge-End Resources Driven by Spatiotemporal Data Visualization Tasks

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[0034] 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.

[0035] The spatio-temporal data visualization task-driven cloud-edge resource collaborative scheduling method described in the preferred embodiment of the present invention can be executed by an intelligent terminal. In this embodiment, the security management process is described by taking installation on a smart terminal as an example. like figure 1 Said, the cloud-side-end resource collaborative scheduling method driven by the spatio-temporal data visualization task includes the following steps:

[0036] In step S100, the resource information stored in the cloud edge terminal is con...

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Abstract

The invention discloses a method for collaborative scheduling of cloud-side-device resources driven by spatio-temporal data visualization tasks. The method includes: serving the resource information of cloud-side devices to obtain service tasks corresponding to the resource information; when obtaining the spatio-temporal data visualization tasks, Decomposing the task of the spatio-temporal data visualization task to obtain the scheduling workflow corresponding to the spatio-temporal data visualization task; taking the service task corresponding to the scheduling workflow as a service unit and connecting the service units to obtain A scheduling service chain corresponding to the spatio-temporal data visualization task; according to the scheduling service chain, dynamically allocate the resource information and execute the scheduling service chain. The present invention corresponds the resource information to the service through the service of the resource information and the decomposition of the space-time data visualization task, and allocates the resource information according to the situation of the task, so as to realize the efficient execution of the visualization task.

Description

technical field [0001] The present invention relates to the technical field of spatio-temporal data visualization, in particular to a method for collaborative scheduling of cloud-edge-device resources driven by spatio-temporal data visualization tasks. Background technique [0002] With the rapid increase of sensing equipment and the accumulation of time, spatio-temporal data becomes larger and larger. With the rapid development of technologies such as geographic information, big data and data visualization, and the promotion of field informatization projects, the dynamics of spatio-temporal big data Analytics has become a critical need today. At present, the visualization and scheduling methods of spatio-temporal scenes mainly rely on the establishment of spatial index, dynamic data scheduling and data simplification and other optimization methods. For example, for large-scale massive terrain rendering, high efficiency is mainly achieved by building terrain pyramids and dyn...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50
CPCG06F9/5083G06F2209/5017
Inventor 李晓明刘铭崴王伟玺谢林甫汤圣君李游郭仁忠
Owner SHENZHEN UNIV
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