APP starting acceleration method based on embedding of heterogeneous network with attributes

An APP startup, heterogeneous network technology, applied in neural learning methods, program loading/starting, biological neural network models, etc., can solve problems such as accelerated application startup, low accuracy of prediction methods, and impact on application prediction accuracy.

Inactive Publication Date: 2020-07-07
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can be applied to application prediction, but this method can only predict whether there will be a link relationship between two nodes, and can only make predictions based on a certain context such as time, location information, etc., resulting in the

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  • APP starting acceleration method based on embedding of heterogeneous network with attributes
  • APP starting acceleration method based on embedding of heterogeneous network with attributes
  • APP starting acceleration method based on embedding of heterogeneous network with attributes

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Embodiment Construction

[0162] image 3 Is the overall flow chart of the present invention; as image 3 Shown, the present invention comprises the following steps:

[0163] The first step is to build an application startup acceleration system based on heterogeneous network embedding with attributes. The system as figure 2 As shown, it consists of two layers: the first layer is a data processing module running on a mobile terminal, and the second layer is a model training system running on a cloud server (cloud).

[0164] The data processing module is installed in the mobile terminal (i.e. mobile smart device), interacts with the service layer of the Android system in the mobile terminal, collects and stores application-related records, and performs preprocessing operations on the records to generate training-related data and store them in the mobile terminal , and then interact with the cloud model training system, send training-related data to the cloud, and obtain an application startup predict...

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Abstract

The invention discloses an APP starting acceleration method based on attribute heterogeneous network embedding, and aims to predict APP starting and realize starting acceleration according to an application obtained by prediction. According to the method, an application starting acceleration system based on heterogeneous network embedding with attributes is constructed, and the system is composedof a data processing module running on a mobile terminal and a model training system running on the cloud; the data processing module is composed of a data collection module, a data preprocessing module, a data uploading module, an application starting prediction module, an application starting acceleration module and a terminal database. The model training system is composed of an application record storage module, a model training module, a model interaction module and a cloud database. According to the application starting acceleration system, the next possibly started application is accurately predicted by using the APP starting prediction method embedded in the heterogeneous network with attributes, so that the application process is created in advance, the application resources are loaded in advance, and the time of waiting for the application to be started by a user is shortened.

Description

technical field [0001] The present invention relates to the field of APP (ie, application) start-up acceleration in an Android (Android) system, and in particular to a method for predicting APP start-up based on a heterogeneous network embedding method with attributes to accelerate APP start-up. Background technique [0002] In the Android system, a general application is composed of four major components: Activity (activity), Service (service), ContentProvider (content provider), and Broadcast (broadcast). In the Android system, it is responsible for the startup and switching of the four major components. , Scheduling and application process management and scheduling is ActivityManagerService (AMS, activity management service process). AMS is one of the core services in the Android system. Its responsibilities are similar to the process management and scheduling modules in the operating system, and the application startup process is closely related to it. figure 1 Start th...

Claims

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Application Information

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IPC IPC(8): G06F9/445G06N3/04G06N3/08H04L29/08
CPCG06F9/44505G06N3/08H04L67/10G06N3/045
Inventor 周逸菲李少勇刘亚萍
Owner CENT SOUTH UNIV
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