Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Cooperative computing task allocation method under edge computing

A technology of edge computing and computing tasks, which is applied in computing, resource allocation, program control design, etc., and can solve problems such as delay-sensitive task processing, transmission delay, and network congestion.

Active Publication Date: 2021-03-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF17 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for latency-sensitive tasks, faster execution is required to meet low-latency requirements
The physical distance between industrial IoT devices and cloud servers will cause problems such as transmission delays and network congestion, which limits the processing of latency-sensitive tasks in cloud computing

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
  • Cooperative computing task allocation method under edge computing
  • Cooperative computing task allocation method under edge computing
  • Cooperative computing task allocation method under edge computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings.

[0056] A cooperative computing task allocation method under edge computing. The method performs optimal task allocation through three types of cooperative computing, the main edge computing server, the adjacent edge computing server and the device cluster, thereby realizing the accelerated processing of tasks and reducing service delays. ;

[0057] Specifically include the following steps:

[0058] S1. Build an IIoT model for edge computing, including a set of edge computing servers and industrial IoT devices , of which the Each edge computing server is used as the main edge computing server, which covers a group of industrial IoT devices and is represented as , ; the set of adjacent edge computing servers is expressed as ; The in...

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 cooperative computing task allocation method under edge computing, and belongs to the technical field of edge computing. According to the method, sharing of computing resources of the edge computing server and the industrial Internet of Things device is considered, various heterogeneous devices are promoted to participate in cooperation, the problem of task delay is solved, and compared with a method that all tasks are executed on a main server (a non-cooperative computing task allocation method), the method has better performance in the aspect of delay, accelerates the task execution speed and effectively improves the task completion rate and the resource utilization rate of system equipment.

Description

technical field [0001] The invention belongs to the technical field of edge computing, and particularly relates to a cooperative computing task allocation method under edge computing. Background technique [0002] With the development of 5G and wireless networks, billions of industrial IoT devices (such as industrial monitoring equipment, industrial automation equipment, robots, sensors, actuators and end devices) will be connected to industrial networks, which will generate various delay-sensitive , computationally intensive tasks. The traditional solution is for IIoT devices to offload these tasks to cloud servers. However, latency-sensitive tasks need to be executed faster to meet low latency requirements. The physical distance between IIoT devices and cloud servers will cause problems such as transmission delays, network congestion, etc., which limit the processing of latency-sensitive tasks in cloud computing. [0003] Edge computing supports computing-intensive and ...

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): H04L29/08G06F9/50
CPCH04L67/10H04L67/12G06F9/5038H04L67/62
Inventor 侯文静文红陈良张真源雷文鑫杨其聪
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products