Intelligent computing power scheduling method, device and system

A scheduling device and intelligent technology, applied in the field of network communication, can solve problems such as difficulty in guaranteeing business service level requirements, waste of edge computing resources, and lack of computing power scheduling from a business perspective.

Active Publication Date: 2021-06-25
CHINA TELECOM CORP LTD
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AI Technical Summary

Problems solved by technology

[0002] In the field of MEC (Mobile Edge Computing, Mobile Edge Computing), the computing power resources of edge nodes are very limited, while the AI ​​(Artificial Intelligence, artificial intelligence) services and video services connected to the edge cloud are highly bursty. The fixed business computing power allocation method is difficult to meet the performance requirements of the business peak period, and the waste of edge computing power resources will be caused when the business is idle
Existing solutions focus on solving the management problems of edge devices and the communication problems of edge clouds. They lack computing power scheduling from a business point of view, and it is difficult to guarantee business service level requirements. The sinking of business processing nodes needs to cooperate with the downshifting of business gateways. Deploying business processing nodes at the edge, it is impossible to guarantee that business traffic flows directly to edge nodes

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  • Intelligent computing power scheduling method, device and system

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Embodiment Construction

[0027] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is illustrative only, and in no way restricts the disclosure, its application or uses. The present disclosure can be implemented in many different forms and is not limited to the embodiments described here. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that the relative arrangement of parts and steps, the composition of materials and numerical values ​​set forth in these embodiments should be interpreted as illustrative only and not as limiting unless specifically stated otherwise.

[0028] Words such as "comprising" or "comprising" used in the present disclosure mean that the elements preceding the word cover the elements listed after the word, and t...

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Abstract

The invention provides an intelligent computing power scheduling method, device and system. The method comprises the steps: after the intelligent computing power scheduling device receives the user business demand information, analyzing the user business demand into a computing power demand, and performing service grade division according to the computing power demand; according to the service type and the divided service level, obtaining cloud resources required for deploying the service function from the enabling platform; selecting a matched deployment node in the acquired cloud resources according to the service level, and deploying a user virtual machine and a virtual service gateway on the deployment node; and configuring a virtual service gateway route so as to route the user service flow to a specified node to realize service online. According to the invention, cross-resource pool cloud resource calling can be realized, and the resource utilization rate and the user experience are effectively improved.

Description

technical field [0001] The present disclosure relates to the field of network communication, and in particular to an intelligent computing power scheduling method, device and system. Background technique [0002] In the field of MEC (Mobile Edge Computing, Mobile Edge Computing), the computing power resources of edge nodes are very limited, while the AI ​​(Artificial Intelligence, artificial intelligence) services and video services connected to the edge cloud are highly bursty. The fixed business computing power allocation method is difficult to meet the performance requirements of the business peak period, and the edge computing power resources will be wasted when the business is idle. Existing solutions focus on solving the management problems of edge devices and the communication problems of edge clouds. They lack computing power scheduling from a business point of view, and it is difficult to guarantee business service level requirements. The sinking of business process...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/63
Inventor 刘增义雷波张劲声于新铭
Owner CHINA TELECOM CORP LTD
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