The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 17, 2025

Filed:

Jul. 10, 2023
Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Prakash C. Jain, Fremont, CA (US);

Sanjay K. Hooda, Pleasanton, CA (US);

Kabiraj Sethi, Fremont, CA (US);

Vinay Saini, Karnataka, IN;

Assignee:

Cisco Technology, Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 43/0876 (2022.01);
U.S. Cl.
CPC ...
H04L 43/0876 (2013.01);
Abstract

Described herein are systems and methods for optimizing energy efficiency in a network utilizing a control plane or other network administration device or software suite. The control plane continuously monitors end-to-end network paths and collects real-time data about network topology, traffic patterns, and connected devices. By analyzing the collected network data, the control plane identifies power needs for network nodes and generates energy saving recommendations or instructions tailored to each node's specific capabilities. Network nodes can subscribe to the energy efficiency service provided by the control plane, receive network usage data, and execute energy saving operations based on the recommendations. The control plane dynamically updates the energy saving recommendations in response to changes in network conditions, enabling network nodes to optimize their energy efficiency without compromising network performance and availability. These updates can be based on current network conditions but can be generated from historical data and/or machine learning processes.


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