公开(公告)号：US12007738B2

公开(公告)日：2024-06-11

申请号：US17215238

申请日：2021-03-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Torsten Wilde ,  Jeffrey C. Hanson ,  Aamir Arshad Rashid ,  Michael McKay

IPC: G05B19/042 ,  G06F16/16 ,  H04L67/12

CPC classification number: G05B19/0428 ,  G06F16/164 ,  H04L67/12 ,  G05B2219/24015 ,  G05B2219/25068

Abstract: In some examples, a controller dynamically configures a property associated with monitoring performed by an agent. The controller stores, in a repository, metadata relating to the agent. The controller receives, from the agent, first sensor data that excludes the metadata, and uses indexing information in the first sensor data to retrieve the metadata from the repository.

公开(公告)号：US12001256B2

公开(公告)日：2024-06-04

申请号：US17195864

申请日：2021-03-09

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Torsten Wilde ,  Christian Simmendinger ,  Tobias W. W. Schiffmann

IPC: G06F9/50 ,  G06F1/3203 ,  G06F9/48 ,  G06N20/00

CPC classification number: G06F1/3203 ,  G06F9/4893 ,  G06F9/5027 ,  G06N20/00 ,  G06F2209/501

Abstract: A technique includes an agent executing on a plurality of nodes while a job is being concurrently executed by the plurality of nodes. The plurality of nodes is power-capped by an existing node power consumption budget. The technique includes managing power consumption of the plurality of nodes. The managing includes the agent determining a performance footprint that is associated with execution of the job; and the managing includes the agent determining a second node power consumption budget based on the performance footprint. The second node power consumption budget is different than the existing node power consumption budget. The managing includes the agent providing a power consumption request to a global power dispatcher to set a new node power consumption budget for the plurality of nodes.

公开(公告)号：US20220390999A1

公开(公告)日：2022-12-08

申请号：US17337107

申请日：2021-06-02

Applicant: Hewlett Packard Enterprise Development LP

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

IPC: G06F1/30 ,  G06F1/3206 ,  G06F1/18 ,  H02J3/00

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.