Reliable edge-cloud computing service delay optimization method for cyber-physical system

A cyber-physical system and optimization method technology, applied in the field of reliable edge-cloud computing service delay optimization, can solve problems such as reducing the sustainability of CPS applications, and achieve the effect of reducing system service delay and avoiding transmission and execution.

Active Publication Date: 2022-01-11
JINAN UNIVERSITY
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, existing CPS-oriented latency-aware edge cloud computing approaches fail to consider both energy budget and reliability requirements, which may greatly reduce the sustainability of CPS applications.

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
  • Reliable edge-cloud computing service delay optimization method for cyber-physical system
  • Reliable edge-cloud computing service delay optimization method for cyber-physical system
  • Reliable edge-cloud computing service delay optimization method for cyber-physical system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0120] Such as figure 2 As shown, this embodiment proposes a reliable edge-cloud computing service delay optimization method for cyber-physical systems, and the method includes the following steps:

[0121] Step 1: Model the service delay of the base station based on the calculation offload transmission delay and execution delay, and set the service delay target of the edge cloud computing according to the energy budget and reliability characteristics. The service delay target of the edge cloud computing includes static phase targets and dynamic The goal of the stage, the goal of the static stage is to find the optimal calculation offloading mapping and the number of task backups, and the goal of the dynamic stage is to avoid the transmission and execution of redundant tasks at runtime;

[0122] Step 2: Calculate the system service delay, and convert the service delay target of edge cloud computing into five scheduling constraints. The five scheduling constraints include the ...

Embodiment 2

[0217] This embodiment takes a cyber-physical fusion system as an example to illustrate how to apply a reliable edge-cloud computing service delay optimization method for cyber-physical systems. The cyber-physical fusion system is a typical CPS composed of edge / cloud computing coupling, specifically including multiple A terminal user, multiple base stations, multiple heterogeneous edge servers and a cloud server, multiple heterogeneous edge servers and a cloud server constitute an edge / cloud server, multiple end users are wirelessly connected to adjacent base stations, and the edge / cloud server Wirelessly connect to multiple base stations in its vicinity.

[0218] In this embodiment, the base station is expressed as J is the number of base stations, and the heterogeneous edge server is expressed as κ is the number of heterogeneous edge servers, edge / cloud servers are expressed as In actual application, each heterogeneous edge server has server heterogeneity, which is main...

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 discloses a reliable edge-cloud computing service delay optimization method for a cyber-physical system. The method is a service delay optimization method combining a static stage and a dynamic stage. In the static stage, Monte Carlo simulation and integer linear programming are adopted to search for optimal computing unloading mapping and task backup quantity. In the dynamic stage, an adaptive backup dynamic mechanism is proposed to avoid redundant data transmission and execution, thereby achieving additional energy saving and enhancement of service delay. According to the method, the problem of edge cloud computing service delay minimization of a coupled CPS under the constraints of energy budget and reliability requirements is solved, service delay optimization is carried out by combining the static stage and the dynamic stage, and the system service delay is effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of edge computing of computer networks, and in particular relates to a reliable edge-cloud computing service delay optimization method for cyber-physical systems. Background technique [0002] In recent years, with the development of information technology, cyber-physical systems (CPS) have been widely used, such as automatic vehicle systems, health care monitoring, process control systems, etc., specifically as figure 1 shown. For CPS applications, service latency management is very important to provide a high-quality experience to end users. Edge cloud computing, which integrates edge computing and cloud computing, is considered a promising computing model that can achieve low service latency for end users in CPS. However, existing CPS-oriented latency-aware edge cloud computing approaches fail to consider both energy budget and reliability requirements, which may greatly reduce the sustainability of CPS...

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): G06F9/50G06F9/48
CPCG06F9/5072G06F9/4843Y02D10/00
Inventor 曹坤贾韵凝刘志全翁健
Owner JINAN UNIVERSITY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap