Information cloud computing analysis method for big data portraits and information push server

A technology of information push and analysis method, applied in the field of big data, can solve the problems of long time consumption, application update delay, low efficiency of service portrait, etc., to reduce the time occupied, reduce time, and improve the effect of update delay phenomenon

Inactive Publication Date: 2021-06-08
凌清华
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the amount of microservice running data is usually relatively large, which leads to a long time-consuming calculation of service portrait correlation, which in turn leads to low efficiency of generated service portraits, which may cause delays in subsequent application updates

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Information cloud computing analysis method for big data portraits and information push server
  • Information cloud computing analysis method for big data portraits and information push server
  • Information cloud computing analysis method for big data portraits and information push server

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The present application will be described in detail below with reference to the accompanying drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments.

[0068] figure 1 It is an interactive schematic diagram of an information cloud computing analysis system 10 for big data portrait provided by an embodiment of the present application. The information cloud computing analysis system 10 for big data profiling may include an information push server 100 and a mobile software server 200 communicatively connected to the information push server 100 . figure 1 The shown information cloud computing analysis system 10 for big data portraits is only a feasible example, and in other feasible embodiments, the information cloud computing analysis system 10 for big data portraits may also only include figure 1 At least some of the components shown may also include other components.

[0069] Based on th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention provides an information cloud computing analysis method for big data portraits and an information push server. Software business services occupied by operation are divided into software micro-services with small operation occupation; as the number of the service operation nodes in one software micro-service is less than the number of the service operation nodes in the whole software business service, the time for determining the first unit service portrait corresponding to one software micro-service through the portrait classification network model is short; and the first unit service portraits corresponding to the plurality of software micro-services are determined in parallel through different portrait classification network models, so that the time occupied by the portrait association process can be reduced, the time for determining the overall service portrait of the service object in the software business service is further reduced, the overall service portrait generation efficiency is improved, and the updating delay phenomenon in the subsequent application process is improved.

Description

technical field [0001] The present application relates to the technical field of big data, in particular, to an information cloud computing analysis method and an information push server for big data portraits. Background technique [0002] In the process of service portrait generation, a large number of microservice running data generated by multiple service running nodes in software business services can be correlated to determine the overall service portrait of service objects in software business services, which can be used for various Applications related to service portraits, for example, use service portraits to push relevant hotspot information, etc. However, the amount of microservice running data is usually relatively large, which leads to a long time-consuming calculation of service portrait correlation, which in turn leads to low efficiency of the generated service portrait, which may cause delays in subsequent application updates. Contents of the invention ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0201
Inventor 凌清华
Owner 凌清华
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap