Hierarchical edge computing unloading method based on priority

An edge computing and prioritization technology, applied in electrical components, wireless communication, transmission systems, etc.

Active Publication Date: 2020-11-17
HOHAI UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

On the other hand, many applications of the Internet of Things will also face more challenges, such as delay sensitivity, energy efficiency and reliability issues

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  • Hierarchical edge computing unloading method based on priority
  • Hierarchical edge computing unloading method based on priority
  • Hierarchical edge computing unloading method based on priority

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Embodiment Construction

[0073] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0074] The present invention proposes a hierarchical edge computing offloading framework based on emergency priority. Edge nodes that are closer to user devices and have fewer computing resources handle simple tasks to quickly return warning information, while servers that are farther away from user devices but have more computing resources handle complex tasks and finally return accurate results. Since the competition of devices on limited resources will increase the delay experienced by users, an optimization scheme for resource allocation and task scheduling based on service emergency priority is proposed in this paper to minimize the total system delay while e...

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Abstract

The invention discloses a hierarchical edge computing unloading method based on priority. The method comprises a resource allocation and task scheduling strategy taking time delay minimization as an optimization target. On one hand, a layered edge computing framework is constructed for an emergency scene, edge nodes which are closer to user equipment and have fewer computing resources process simple tasks so as to quickly return warning information, and servers which are farther from the user equipment and have more computing resources process complex tasks so as to finally return accurate results. And on the other hand, a resource allocation and task scheduling optimization scheme based on the service emergency priority is provided for the problem that the time delay is increased due to limited resource competition, so that the total time delay of the system is minimized. A dynamic priority task scheduling algorithm (DPTSA) on a server is designed in order to ensure that the time delay of high priority tasks is still minimum under the condition that the tasks are very dense. Therefore, the user can obtain real-time response as soon as possible in case of emergency.

Description

technical field [0001] The invention belongs to the technical field of computer edge computing, and in particular relates to a priority-based hierarchical edge computing offloading method. Background technique [0002] With the development of 5G communication technology and the Internet of Things, a large number of mobile devices and their services have led to explosive growth of mobile data traffic, and more and more mobile applications have imposed strict requirements on real-time communication and intensive computing. In a traditional IoT network, the data of terminal devices is usually transmitted to the cloud server for processing. However, massive IoT device data puts a heavy burden on the cloud server and wireless links, and the system performance will be affected and degraded sharply. . In order to improve the user's quality of experience, especially to reduce the end-to-end delay, the emergence of Mobile Edge Computing (MEC) technology has attracted extensive atten...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04W24/06H04W72/04H04W72/10H04L29/08
CPCH04W24/02H04W24/06H04L67/1004H04W72/53H04W72/56
Inventor 吴学文廖婧贤
Owner HOHAI UNIV
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