HIERARCHICAL ENERGY OPTIMIZATION FOR DATACENTER NETWORKS

Patent №

US 8,700,928

Granted

2014-04-15

Filed 2013

Owner

NEW JERSEY INSTITUTE OF TECHNOLOGY

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13819267

Technologies are presented for power optimization of datacenter networks in a hierarchical perspective. In some examples, a two-level power optimization model may be established to reduce the power consumption of datacenter networks by switching off network switches and links while still guaranteeing full connectivity and maximum link utilization. The model may be implemented by solving a capacitated constraint multi-commodity flow (CMCF) problem employing simple heuristic techniques. A power status of network switches may be determined according to a network traffic matrix and the CMCF optimization determined at core-level and at pod-level. A complementary process to provision whole network connectivity and to meet quality of service (QoS) goals may also be performed.

AI hardwareG06F 1/32G06F 1/26G06F 1/3203G06F 1/3278G06F 1/3287Y02D 10/00

AI classification

AI hardware1.00
Planning0.42
Knowledge representation0.08
Machine learning0.03
Evolutionary computation0.00
Vision0.00
Speech0.00
Natural language0.00

Ownership

NEW JERSEY INSTITUTE OF TECHNOLOGY

assignment · 282810309

Assignors

ANSARI, NIRWAN, ZHANG, YAN, ANSARI, NIRWAN, ZHANG, YAN

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC