Dynamic resource allocation method based on evolutionary game in mobile edge cloud computing system

A technology of dynamic resource allocation and cloud computing, which is applied in transmission systems, digital transmission systems, network traffic/resource management, etc., and can solve problems such as the size and energy of smart mobile devices that cannot be met

Active Publication Date: 2020-07-31
SOUTHEAST UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the continuous improvement of terminal application requirements and computing power requirements, smart mobile devices cannot meet the requirements due to size, energy and other limitations.

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
  • Dynamic resource allocation method based on evolutionary game in mobile edge cloud computing system
  • Dynamic resource allocation method based on evolutionary game in mobile edge cloud computing system
  • Dynamic resource allocation method based on evolutionary game in mobile edge cloud computing system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Based on the evolutionary game, the present invention makes full use of the limited computing resources in the cloud, and aims at minimizing the offloading cost of all terminal tasks, while ensuring the real-time performance of each terminal task and meeting the task offloading requirements of each mobile terminal. The implementation method of the present invention will be further described below in conjunction with the accompanying drawings.

[0038] as attached figure 1 As shown, consider a heterogeneous network convergence scenario with a two-layer Macro-Small overlapping coverage structure in the mobile edge computing environment, where one macro base station (Macro Base Station, MBS) and K small base stations (SmallBase Station, SBS) are deployed In a macro cell (Macrocell) network. It can be seen from the figure that the MBS is deployed at the center of the Macrocell network, and the SBS is deployed at the center of the Small cell (Smallcell) network. As for the...

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 dynamic resource allocation method based on evolutionary game in a mobile edge cloud computing system, including: (1) dividing the network into several areas according to the network coverage, each area can have different service points, and the network There is a centralized controller in it; (2) Terminals with task offloading requirements in the same area form a population, and the terminals in the population establish a task offloading cost function; (3) All terminals in each population are randomly selected in the SP selection strategy set Select an accessible SP; establish an evolutionary game within each population in the network; (4) The terminal of each population calculates the task offloading cost and sends the SP selection strategy and cost information to the controller; (5) The population performs SP selection strategy according to dynamic replication Update; (6) Dynamic replication reaches evolution equilibrium. Based on the evolutionary game, the present invention makes full use of computing resources and wireless resources of SPs, and satisfies the task offloading requirements of each mobile terminal while aiming at equal task offloading costs of all terminals in the population.

Description

technical field [0001] The present invention relates to mobile edge computing technology, in particular to an evolutionary game-based dynamic resource allocation method in a mobile edge cloud computing system (Mobile Edge Computing, MEC). Background technique [0002] In recent years, cloud computing has become a recognized next-generation computing infrastructure in academia and industry. Compared with traditional IT infrastructure, it can provide many features such as scalability, agility, economic efficiency, etc. At the same time, with the rapid deployment of wireless broadband networks and the increasing popularity of smart mobile devices, more and more terminals use Internet services. However, with the continuous improvement of terminal application requirements and computing power requirements, smart mobile devices cannot meet the constraints due to size and energy. Therefore, the mobile edge computing system (Mobile Edge Computing, MEC) integrates cloudlets (Cloudle...

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 Patents(China)
IPC IPC(8): H04L29/08H04L12/901H04W28/08H04W48/20H04L45/80
CPCH04L12/5691H04W28/08H04W48/20H04L67/1001H04L67/60
Inventor 夏玮玮张静黄博南邹倩程之序燕锋沈连丰
Owner SOUTHEAST 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

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