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Cloud computing resource scheduling method and system for geographic big data

A technology of resource scheduling and cloud computing, which is applied in computing, resource allocation, electrical digital data processing, etc., and can solve problems such as inability to produce scheduling results

Inactive Publication Date: 2020-06-19
EAST CHINA NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the resources of each user are scheduled under the same framework, it usually cannot produce the best scheduling results

Method used

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  • Cloud computing resource scheduling method and system for geographic big data
  • Cloud computing resource scheduling method and system for geographic big data
  • Cloud computing resource scheduling method and system for geographic big data

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Embodiment Construction

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0059] The purpose of the present invention is to provide a cloud computing resource scheduling method and system for geographic big data, so as to realize the dynamic scheduling of cloud computing resources of different task types without stopping cloud applications.

[0060] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction wi...

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Abstract

The invention provides a cloud computing resource scheduling method and system for geographic big data. According to the invention, the cloud computing resource scheduling rule base is established offline and the triggering event is monitored online; and determining a resource scheduling action of the trigger event, and determining an optimal scheduling scheme by adopting a ConvLSTM load flow prediction model, thereby realizing dynamic scheduling of cloud computing resources of different task types (monitored trigger events) under the condition of not stopping the cloud application.

Description

technical field [0001] The invention relates to the application field of geographic big data, in particular to a cloud computing resource scheduling method and system for geographic big data. Background technique [0002] With the rapid development of technology and the increasing scale of applications, today's geographic big data applications require massive data processing. Generally speaking, big data has "5V" characteristics: Volume (large amount), Velocity (fast update), Variety (variety), Value (value), and Veracity (authenticity). Big geographic data also has "5V" characteristics, but the difference between big geographic data and other big data lies in whether it has spatiotemporal attributes. [0003] According to the types of sensors and recorded objects, geographic big data can be divided into two categories: earth observation and human behavior big data. [0004] Earth observation data records the characteristics of surface elements, and its sensor types includ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50
CPCG06F9/5061G06F9/5072G06F9/5077
Inventor 刘静静陈曦刘敏蒋捷李志强刘小平李庆利方涛霍宏
Owner EAST CHINA NORMAL UNIV
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