Method and apparatus for adjusting running status of network device and related device

US12568022B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12568022-B2
Application numberUS-202418808246-A
CountryUS
Kind codeB2
Filing dateAug 19, 2024
Priority dateFeb 21, 2022
Publication dateMar 3, 2026
Grant dateMar 3, 2026

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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A method and an apparatus for adjusting a running status of a network device and a related device are disclosed. A second network device sends, to a first network device, first traffic information of traffic processed by the second network device in a first time period. The first network device predicts, based on the first traffic information, second traffic information corresponding to the second network device in a second time period. The first network device determines, based on the second traffic information, energy consumption corresponding to each energy saving policy, and determines, as a target energy saving policy, an energy saving policy corresponding to energy consumption that meets a preset condition. The first network device sends the target energy saving policy to the second network device, to enable the second network device to be run based on a configuration parameter in the target energy saving policy.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method for adjusting a running status of a network device, wherein the method comprises: receiving, by a first network device, first traffic information sent by a second network device, wherein the first traffic information indicates a value of traffic processed by the second network device in a first time period; predicting, by the first network device based on the first traffic information, second traffic information corresponding to the second network device in a second time period, wherein the second time period is later than the first time period; determining, by the first network device based on the second traffic information, an energy consumption value corresponding to each of a plurality of energy saving policies, wherein each energy saving policy comprises a configuration parameter corresponding to a component in the second network device when the component in the second network device is run based on the energy saving policy; and determining, by the first network device as a target energy saving policy, an energy saving policy corresponding to an energy consumption value that meets a preset condition, and sending the target energy saving policy to the second network device, to enable the second network device to be run based on a configuration parameter in the target energy saving policy. 2 . The method according to claim 1 , wherein the method further comprises: determining, by the first network device based on the second traffic information and the target energy saving policy, a planned execution time period corresponding to the target energy saving policy; and sending, by the first network device, the planned execution time period to the second network device, to enable the second network device to execute the target energy saving policy in a time period corresponding to the planned execution time period. 3 . The method according to claim 1 , wherein the method further comprises: determining, by the first network device, a wakeup value based on the target energy saving policy, wherein the wakeup value indicates a condition under which the second network device stops executing the target energy saving policy; and sending, by the first network device, the wakeup value to the second network device. 4 . The method according to claim 1 , wherein the predicting, by the first network device based on the first traffic information, second traffic information corresponding to the second network device in a second time period comprises: inputting, by the first network device, the first traffic information into a traffic prediction model, to obtain the second traffic information output by the traffic prediction model, wherein the traffic prediction model is generated through training based on historical traffic information of the second network device. 5 . The method according to claim 1 , wherein the determining, by the first network device based on the second traffic information, an energy consumption value corresponding to each of a plurality of energy saving policies comprises: for each energy saving policy, inputting, by the first network device, the second traffic information and the energy saving policy into an energy consumption prediction model, to obtain an energy consumption value that is output by the energy consumption prediction model and that corresponds to the energy saving policy, wherein the energy consumption prediction model is generated based on training samples, and each training sample comprises traffic information, an energy consumption value, and a configuration parameter corresponding to the energy consumption value. 6 . The method according to claim 5 , further comprising: before the inputting, by the first network device, the second traffic information and the energy saving policy into an energy consumption prediction model, determining, by the first network device, the energy consumption prediction model based on a device type of the second network device, wherein the device type corresponds to the energy consumption prediction model. 7 . The method according to claim 2 , wherein the method further comprises: receiving, by the first network device, an actual execution time period that is of the target energy saving policy and that is sent by the second network device, wherein execution duration corresponding to the actual execution time period is less than execution duration corresponding to the planned execution time period; and updating, by the first network device, the target energy saving policy based on the actual execution time period. 8 . The method according to claim 4 , wherein the method further comprises: receiving, by the first network device, third traffic information sent by the second network device, wherein a statistical value corresponding to the third traffic information exceeds a wakeup value; and optimizing, by the first network device, the traffic prediction model based on the third traffic information. 9 . The method according to claim 5 , wherein the method further comprises: sending, by the first network device, a local training sample to a third network device, wherein the local training sample comprises historical traffic information, a historical energy consumption value, and a configuration parameter corresponding to the historical energy consumption value that are of a network device managed by the first network device; and receiving, by the first network device, the energy consumption prediction model sent by the third network device, wherein the energy consumption prediction model is generated by the third network device through training using the local training sample. 10 . The method according to claim 5 , wherein the method further comprises: generating, by the first network device, a first energy consumption prediction model by using a local training sample, and sending a model parameter of the first energy consumption prediction model to a third network device, wherein the local training sample comprises historical traffic information, a historical energy consumption value, and a configuration parameter corresponding to the historical energy consumption value that are of a network device managed by the first network device; and receiving, by the first network device, the energy consumption prediction model sent by the third network device, wherein the energy consumption prediction model is determined by the third network device based on model parameters that are of first energy consumption prediction models and that are respectively sent by a plurality of first network devices. 11 . The method according to claim 1 , wherein the preset condition comprises that the energy consumption value corresponding to the target energy saving policy is a smallest value of a plurality of energy consumption values corresponding to the plurality of energy saving policies, or the energy consumption value corresponding to the target energy saving policy is less than or equal to an energy consumption threshold. 12 . A method for adjusting a running status of a network device, wherein the method comprises: sending, by a second network device, first traffic information to a first network device, wherein the first traffic information indicates a value of traffic processed by the second network device in a first time period; receiving, by the second network device, a target energy saving policy sent by the first network device, wherein the target energy saving policy is determined by the first network device based on second traffic information, the second traffic information is traffic that corresponds to the second network device in a second time period and that is p

Assignees

Inventors

Classifications

  • for reduction of network energy consumption · CPC title

  • Re-configuration of fast packet switches · CPC title

  • based on the energy state of entities · CPC title

  • in the radio access network or backbone network of wireless communication networks · CPC title

  • using machine learning or artificial intelligence · CPC title

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What does patent US12568022B2 cover?
A method and an apparatus for adjusting a running status of a network device and a related device are disclosed. A second network device sends, to a first network device, first traffic information of traffic processed by the second network device in a first time period. The first network device predicts, based on the first traffic information, second traffic information corresponding to the sec…
Who is the assignee on this patent?
Huawei Tech Co Ltd
What technology area does this patent fall under?
Primary CPC classification H04L41/0894. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Mar 03 2026 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).