Discrete data uniform quantification algorithm in mobile cloud calculation

A technology of uniform quantization and discrete data, applied in the field of mobile cloud computing, can solve problems such as poor performance

Inactive Publication Date: 2017-01-18
SICHUAN YONGLIAN INFORMATION TECH CO LTD
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of poor quantization performance of fluctuating discrete data between routing and forwa...

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
  • Discrete data uniform quantification algorithm in mobile cloud calculation
  • Discrete data uniform quantification algorithm in mobile cloud calculation
  • Discrete data uniform quantification algorithm in mobile cloud calculation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] In order to improve the performance of quantifying the fluctuating discrete data between the routing and forwarding clusters, combined figure 1 The present invention is described in detail, and the specific implementation steps are as follows:

[0014] Step 1: Build a mobile cloud computing data clustering model and channel model. The specific calculation process is as follows:

[0015] Step 1.1) Mobile cloud computing data clustering model

[0016] Data information processing and resource scheduling under the framework of mobile cloud computing can provide platform support for data-intensive operations. Mobile network communication The mobile base station performs node deployment and information collection, routing and forwarding. The hierarchical routing network is divided into many different clusters. Each cluster has a cluster head node (CH) and several cluster nodes (MN), based on cloud computing The basis for realizing mobile network communication is the real-time esti...

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 discrete data uniform quantification algorithm in mobile cloud calculation. A mobile cloud calculation data clustering model and a channel model are constructed, fluctuation discrete data acquisition is carried out, a path is selected according to a Logistic model, an optimal probability density of mobile cloud calculation intercluster fluctuation discrete data uniform quantification is obtained, a Bayes rough set uniform quantification optimization object function is constructed, and thus algorithm optimization is realized. The algorithm employed by the invention can effectively realize feature classification of mobile cloud calculation intercluster fluctuation discrete data, has a quite good fluctuation discrete data quantification effect and improves the parallel calculation efficiency of cloud calculation.

Description

Technical field [0001] The invention relates to the field of mobile cloud computing and data transmission. Background technique [0002] In mobile cloud computing, quantifying the fluctuating discrete data between routing and forwarding clusters is the key to improving the efficiency of cloud computing parallel data analysis. Research on the quantitative algorithm of discrete fluctuation data between clusters of mobile cloud computing has important value and significance, and has received extensive attention from experts in related fields. Currently, the quantization algorithms for discrete fluctuation data between clusters of mobile cloud computing mainly include signal processing methods, time-frequency feature analysis algorithms, time delay estimation algorithms, and nonlinear time series analysis algorithms. Some studies have proposed a decision-making method based on gray correlation coefficient and evidence theory, which realizes the volatility and uniform quantification ...

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
IPC IPC(8): H04L12/715H04L29/08G06F9/50
CPCH04L45/46G06F9/5027G06F9/5072G06F9/5083G06F2209/5011G06F2209/505H04L67/10
Inventor 范勇胡成华
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
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