Method and device for real-time flux prediction and real-time flux monitoring and early warning

A real-time traffic, monitoring and early warning technology, applied in digital transmission systems, data exchange networks, electrical components, etc., can solve problems such as failure to detect network abnormality in time and complex traffic models, achieve fine-grained management, and ensure network services. quality, and the effect of improving prediction accuracy

Inactive Publication Date: 2008-04-02
ZTE CORP
View PDF0 Cites 42 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The present invention aims to provide a real-time traffic prediction method and a real-time traffic monitoring and early warning technology solution, which can solve the problems in the above-mentioned related technologies, such as the complexity of the traffic model and the inability to detect abnormal network operation in time

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
  • Method and device for real-time flux prediction and real-time flux monitoring and early warning
  • Method and device for real-time flux prediction and real-time flux monitoring and early warning
  • Method and device for real-time flux prediction and real-time flux monitoring and early warning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0036] Fig. 1 shows a flowchart of a real-time traffic forecasting method according to the present invention. As shown in Figure 1, the real-time traffic prediction method for predicting ports or links in real time according to the present invention comprises the following steps:

[0037] Step S102, obtaining real-time flow information within a given period from a port or a link, and determining the average value of the flow within the given period and the average value of the flow at a specific time within the given period;

[0038] Step S104, setting a first weight for the average value of traffic in a given period according to traffic characteristics of different services, and setting a second weight for the average value of traffic at a specific time in a given period; and

[0039] Step S106, performing a weighted average on the a...

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 provides a method and device for predicting the real-time flux and a method and device for monitoring and alarming the real-time flux. The method for predicting the real-time flux comprises the following steps: step S102 of obtaining the real-time flux information in given cycle from port or link and determining an average of flux in given cycle and an average of flux at a special time in given cycle; step S104 of setting a first weight for the average of flux in given cycle based on flux characteristic of different service and setting a second weight for the average of flux at a special time in given cycle, based on flux characteristic of different service; and step S106 of weighted averaging the average of flux in given cycle and the average of flux at a special time in given cycle to obtain the predicted flux of port or link at a special time in given cycle.

Description

technical field [0001] The invention relates to the technical field of network flow analysis, in particular to a real-time flow prediction method and a real-time flow detection and early warning method and device. Background technique [0002] Traffic models are very important for network performance analysis, network planning and design, network load balancing, and discovery of network anomalies. With the increasing development of Internet applications, the scale of the network is also increasing, and the operation status of the network and possible problems have become more and more concerned issues. [0003] Most of the previous traffic models borrowed from the traffic model of the PSTN network, and used the Poisson model to describe the traffic model of the data network, also known as the classic model. Its three main assumptions are: [0004] 1. The time interval at which data sources generate traffic is exponentially distributed, that is to say, the generation of data...

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): H04L12/26H04L12/56H04L12/24H04L47/27
Inventor 齐进柳大伟蒋勇
Owner ZTE CORP
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