Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Deployment method of mobile Internet application module

A mobile Internet and application module technology, applied in the field of deployment of mobile Internet application modules, can solve the problems of low performance and accuracy, large amount of calculation, etc., and achieve the effect of reducing application complexity, improving operation efficiency, and simplifying topology structure.

Inactive Publication Date: 2017-05-17
YUNNAN UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Application deployment algorithms are mainly divided into static algorithms and dynamic algorithms. Static algorithms have high accuracy, but require a large amount of calculation. Generally, the prediction model is calculated in advance through classification or clustering algorithms, which means that a large amount of user data needs to be collected. To complete machine learning, so that when a new user accesses the application, the server can quickly give an appropriate deployment plan; while the dynamic algorithm does not require pre-learning, and performs real-time calculations based on the state of the terminal when it first accesses the application, with high performance and accuracy. Sex is not high

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
  • Deployment method of mobile Internet application module
  • Deployment method of mobile Internet application module
  • Deployment method of mobile Internet application module

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0046] figure 1 Is a flow chart of the deployment method of the mobile Internet application module of the present invention;

[0047] figure 2 It is a schematic diagram of application decomposition into service model;

[0048] image 3 It is a schematic diagram of determining the decision-making method of the running position of the application module;

[0049] Table 1 is the probability statistics table of each application module running on the terminal or server in the Bayesian network prediction model maintained on the server.

[0050] In this embodiment, as figure 1 As shown, the deployment method of a mobile Internet application module of the present invention includes the following steps:

[0051] S101. Initialize the Bayesian network prediction model of the application on the server; when the server runs for the first time, initialize the Bayesian network prediction of the application by artificially setting the probability of each application module running on the terminal or s...

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 invention discloses a deployment method of a mobile internet application module. The method comprises the steps: firstly, accessing a terminal into a server, acquiring and transmitting the state information of the terminal to the server, calculating an optimal deployment scheme applied on the terminal by applying a bayesian network, and retransmitting the optimal deployment scheme to the terminal through the server, thereby improving the service quality and operation efficiency of the application; secondly, abstracting the application into a plurality of service models, thereby simplifying a topological structure of the application, reducing the complexity of the application, and solving the problem that the calculation execution efficiency of the deployment scheme is low when a past application model is used for complicate application; in the process of operating and applying the terminal, acquiring the basic information of the application module and the state information related in a service model where the terminal is in the operation application process of the terminal, and timely transmitting to the server, and updating an applied bayesian network forecasting model by using these information, therefore a more accurate deployment project can be obtained when a new terminal is accessed.

Description

Technical field [0001] The invention belongs to the field of Internet communication technology, and more specifically, relates to a method for deploying mobile Internet application modules. Background technique [0002] The application of mobile Internet has triggered a profound change in the information industry, and the application has the characteristics of wide distribution and strong mobility. The complete business process of a mobile Internet application generally involves the interaction between the terminal and the server. For example, the smart voice assistant Siri of Apple mobile phones. The mobile terminal collects and recognizes the user’s voice, and then transmits the recognized information to the server. After recognizing this type of information, the user's intention is obtained, and then a knowledge search is performed based on this intention, and the search result is transmitted back to the mobile terminal to show the customer. In this business process, the mobi...

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 Patents(China)
IPC IPC(8): H04L12/24
Inventor 张骥先张学杰岳昆王津杨旭涛
Owner YUNNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products