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CDN network optimization method and device and electronic equipment

A network and network state technology, applied in the field of artificial intelligence, can solve problems such as inaccurate selection, difficulty, and inability to adapt to changes in a wide range of environments, and achieve the best performance, strong normalization ability, and rapid adaptation to environmental changes.

Active Publication Date: 2020-05-29
NAT UNIV OF DEFENSE TECH
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AI Technical Summary

Problems solved by technology

As the core of content delivery network CDN, PoP / DC selection and routing path selection from PoP to DC play an important role in improving the performance of online services, however due to the high dynamics and complexity of the CDN environment, choosing the correct PoP / DC DCs and routing paths are very difficult, and existing heuristics cannot adapt to changes in a wide range of environments, and the selection is not precise enough

Method used

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  • CDN network optimization method and device and electronic equipment
  • CDN network optimization method and device and electronic equipment
  • CDN network optimization method and device and electronic equipment

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Embodiment Construction

[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0041] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present invention shall have the usual meanings understood by those skilled in the art to which the present disclosure belongs. "First", "second" and similar words used in the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. "Comprising" or "comprising" and similar words mean that the elements or items appearing before the word include the elements or items listed after the word and their equivalents, without excluding other elements or items. Words such as "connected" or "connected" are not limited to physical or mechan...

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Abstract

The invention provides a CDN optimization method and device and electronic equipment, and the method is characterized in that the method comprises the steps: constructing a control strategy optimization neural network model; performing path selection by using the control strategy optimization neural network model to obtain a path selection result; applying the path selection result to a CDN network to obtain feedback network state data; and performing parameter optimization on the control strategy optimization neural network model according to the network state data to obtain an optimized control strategy optimization neural network model for optimizing the CDN network.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method, device and electronic equipment for optimizing a CDN network. Background technique [0002] In order to provide users with high-performance responsive services, large content providers build PoPs and data center DCs around the world, and all these points of presence are networked with the data center's dedicated wide area network WAN to form an integrated infrastructure. As the core of content delivery network CDN, PoP / DC selection and routing path selection from PoP to DC play an important role in improving the performance of online services, however due to the high dynamics and complexity of the CDN environment, choosing the correct PoP / DC DCs and routing paths are very difficult, and existing heuristics cannot adapt to wide-ranging environmental changes, and the selection is not precise enough. Contents of the invention [0003] In view of this, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/751H04L12/729H04L12/725G06N3/04H04L45/02H04L45/125
CPCH04L45/306H04L45/02H04L45/125G06N3/045
Inventor 郭得科李妍陈洪辉廖汉龙武睿
Owner NAT UNIV OF DEFENSE TECH
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