Supercharge Your Innovation With Domain-Expert AI Agents!

A multi-layer LSTMRNN-based communication capability open load prediction method and device

A technology of load forecasting and communication capabilities, applied in the field of communication, can solve problems such as no-load accurate forecasting schemes, and achieve the effect of accurate load forecasting

Active Publication Date: 2019-06-25
CHINA MOBILE GROUP ZHEJIANG +1
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Through the prediction and analysis of the load of the communication capability open platform, early detection, early warning, and early response to normal load blowouts or abnormal malicious attacks can be made, so that the behavior of mobile Internet applications is no longer unpredictable and unpredictable, but now The communication capability open platform only has load display at historical moments, and there is no accurate load forecasting solution

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
  • A multi-layer LSTMRNN-based communication capability open load prediction method and device
  • A multi-layer LSTMRNN-based communication capability open load prediction method and device
  • A multi-layer LSTMRNN-based communication capability open load prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. 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 embodiments of the present invention.

[0022] see figure 1 , this embodiment discloses a multi-layer LSTMRNN-based communication capability opening load forecasting method, including:

[0023] S1. Obtain the load data of the communication capability opening platform in the preset time period before the time period to be predicted, wherein the load data includes hourly API calls and hourly...

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 discloses a communication capability open load prediction method and device based on multilayer LSTMRNN, and the method and device can achieve the accurate prediction of the load of a communication capability open platform. The method comprises the following steps: obtaining load data of the communication capability open platform in a preset time period before the to-be-predicted time period, carrying out normalization processing on the load data, converting the load data subjected to normalization processing into a shape suitable for an LSTM neural network, theload data comprising an API call amount per hour and a peak TPS per hour with an hour as a granularity; Inputting the load data of which the shape is transformed into pre-constructed load data; and performing inverse normalization processing on an output result to obtain a load prediction result of the time period to be predicted by using the trained multi-layer LSTMRNN load prediction model, themulti-layer LSTMRNN load prediction model comprising an input layer, an output layer and at least two stacked LSTM hidden layers.

Description

technical field [0001] The embodiments of the present invention relate to the communication field, and in particular to a multi-layer LSTMRNN-based communication capability opening load prediction method and device. Background technique [0002] The communication capability open platform opens traditional telecommunication capabilities to third-party applications through the standard restful (representational state transfer) API (application programming interface) interface, which is convenient for third-party application developers to call, and application developers do not need to understand the bottom layer of operators The complex communication protocol also realizes the realization of traditional telecommunication capabilities such as SMS and MMS, one-way and two-way calls, and taps new potentials, realizes the integration of traditional telecommunication networks and mobile Internet, and fills the traditional SMS and MMS channels with shrinking traffic. In order to mee...

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): H04L12/24G06N3/08G06N3/04
Inventor 邢彪郑屹峰凌啼尹皓玫
Owner CHINA MOBILE GROUP ZHEJIANG
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More