- Patent Title: System and method for predicting power usage of network components
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Application No.: US17337107Application Date: 2021-06-02
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Publication No.: US11644882B2Publication Date: 2023-05-09
- Inventor: Harumi Kuno , Alan Davis , Torsten Wilde , Daniel William Dauwe , Duncan Roweth , Ryan Dean Menhusen , Sergey Serebryakov , John L. Byrne , Vipin Kumar Kukkala , Sai Rahul Chalamalasetti
- Applicant: Hewlett Packard Enterprise Development LP
- Applicant Address: US TX Houston
- Assignee: Hewlett Packard Enterprise Development LP
- Current Assignee: Hewlett Packard Enterprise Development LP
- Current Assignee Address: US TX Spring
- Agency: Park, Vaughan, Fleming & Dowler LLP
- Main IPC: G06F1/3206
- IPC: G06F1/3206 ; G06F1/30 ; H02J3/00 ; G06F1/18

Abstract:
One embodiment provides a system and method for predicting network power usage associated with workloads. During operation, the system configures a simulator to simulate operations of a plurality of network components, which comprises embedding one or more event counters in each simulated network component. A respective event counter is configured to count a number of network-power-related events. The system collects, based on values of the event counters, network-power-related performance data associated with one or more sample workloads applied to the simulator; and trains a machine-learning model with the collected network-power-related performance data and characteristics of the sample workloads as training data 1, thereby facilitating prediction of network-power-related performance associated with a to-be-evaluated workload.
Public/Granted literature
- US20220390999A1 SYSTEM AND METHOD FOR PREDICTING POWER USAGE OF NETWORK COMPONENTS Public/Granted day:2022-12-08
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