Self-adaptive container migration method under fog computing environment

A fog computing and self-adaptive technology, applied in the field of fog computing, can solve problems such as disaster of dimensionality, unknown conversion probability, and failure to consider multi-user situations, and achieve the effects of reducing overhead, reducing delay, and reducing dimensions

Active Publication Date: 2018-05-11
SHANGHAI JIAO TONG UNIV
View PDF4 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Directly migrating the method of virtual machine management in the data center to the fog computing environment will bring a series of problems, including the disaster of dimensionality caused by high-dimensional state space and action space, and mobile users are not considered in the modeling process. Mobility problems, resulting in delay problems in mobile scenarios c

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
  • Self-adaptive container migration method under fog computing environment
  • Self-adaptive container migration method under fog computing environment
  • Self-adaptive container migration method under fog computing environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The specific embodiments of the present invention are given below in conjunction with the accompanying drawings, but the present invention is not limited to the following embodiments. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in very simplified form and use imprecise ratios, which are only used for the purpose of conveniently and clearly assisting in describing the embodiments of the present invention.

[0047] figure 1 Shown is the fog computing framework along with a graph of user movement. figure 1 There are five layers in total: user layer, access network layer, fog layer, core network layer, and cloud layer. The user layer includes mobile users and mobile applications running on mobile users. The mobile application accesses the fog layer through the access network layer and generates a certain delay. The fog node is located in the fog layer, and the c...

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 self-adaptive container migration method under a fog computing environment. The method comprises the following steps that a container-based fog computing framework is established, wherein the container is located on a fog node, a mobile application is located on the body of a user body, and a task of the user is executed in the container; modeling is conducted on a targetmigration of the container under a fog computing scene, wherein the migration target comprises time delay, power consumption and migration cost; a state space and an action space are set, a reward function is defined, and a Q iterated function is set; dimensionality reduction is carried out on the state space through a deep neural network; dimensionality reduction of the action space is achieved through optimization of action selection; finally, a prototype of a self-adaptive migration system of the container is achieved, and the whole process is verified. By means of the provided self-adaptive container migration method under the fog computing environment, resources in fog computing can be better planned, the time delay between the user and the fog node is reduced, and the energy consumption expenditure of the fog node is reduced.

Description

technical field [0001] The invention belongs to the field of fog computing in computer networks, and relates to methods such as fog computing, mobile edge computing, reinforcement learning, and deep reinforcement learning, and in particular to an adaptive container migration method in a fog computing environment. Background technique [0002] Fog computing is emerging as a promising computing paradigm in recent years, providing a flexible architecture to support distributed region-specific, domain-specific applications with cloud computing-like quality of service. Fog computing deploys massive lightweight computing and storage infrastructures (called fog nodes) near mobile users. In this way, the mobile application can be distributed to the appropriate fog node to shorten the user's access delay to the application. In addition, fog nodes are flexible and scalable, and can support the mobility of mobile users. [0003] There are few existing techniques for container migrati...

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): G06F9/50
CPCG06F9/5016G06F9/505G06F9/5088Y02D10/00
Inventor 贾维嘉唐志清周小杰
Owner SHANGHAI JIAO TONG UNIV
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