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Single-edge calculation server and multi-user collaborative calculation unloading and resource allocation method

A technology for computing servers and edge servers, applied in digital transmission systems, electrical components, transmission systems, etc.

Active Publication Date: 2020-04-10
DALIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Considering the impact of economy and scalability, edge computing only provides limited computing and storage resources

Method used

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  • Single-edge calculation server and multi-user collaborative calculation unloading and resource allocation method
  • Single-edge calculation server and multi-user collaborative calculation unloading and resource allocation method
  • Single-edge calculation server and multi-user collaborative calculation unloading and resource allocation method

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Embodiment Construction

[0087] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0088] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0089] Such as figure 1 Shown is the communication process of the computing offloading and resource allocation method in which a single edge computing server cooperates with multiple users in edge computing. The present invention first counts the tasks that the user equipment needs to perform calculations in this time slot, and calculates the minimum cost of locally executing the tasks and the local computing resources to realize the cost; then, sends these information to the edge ser...

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Abstract

The invention provides a single-edge calculation server and multi-user collaborative calculation unloading and resource allocation method. The method comprises the following steps: firstly, performingmathematical modeling on user equipment in a network, calculation resources and calculation tasks of an edge server and the like; secondly, modeling the task cost composition and the execution cost of the task on the user equipment and the edge server, and modeling the problem as an optimization problem; then, dividing the problem into two sub-problems, solving a resource allocation method for minimizing the local execution cost of the task by using a derivative and function monotonicity, and solving a resource allocation method for minimizing the execution cost of the task on an edge serverby using a genetic algorithm; and finally, for the solved edge server resource allocation method, two methods of time energy constraint and local execution cost comparison are used for screening, anditerative computation is performed to obtain an unloading strategy. According to the method, the execution cost of the calculation task can be minimized, and the service quality of the user is improved.

Description

technical field [0001] The invention belongs to the technical fields of wireless communication technology and mobile edge computing, and in particular relates to a calculation unloading and resource allocation method in which a single edge computing server cooperates with multiple users. Background technique [0002] With the explosive growth of mobile devices over the years, more and more mobile applications have become an important part of our daily lives. Widely used cloud computing and technologies provide centralized service support for mobile applications. However, the centralization of services means that the distance between the end user and the cloud where the service is hosted is long, which inevitably increases the average end-to-end latency. Especially for delay-sensitive applications, existing cloud computing paradigms cannot meet stringent timeliness requirements, and user requirements for data rate and quality of service (QoS) are increasing exponentially. A...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04L12/24
CPCH04L41/145H04W72/53Y02D10/00
Inventor 覃振权邱雪岩卢炳先王雷朱明
Owner DALIAN UNIV OF TECH
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