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Title:
INTERNET OF THINGS-ORIENTED MACHINE LEARNING CONTAINER IMAGE DOWNLOAD SYSTEM AND METHOD THEREOF
Document Type and Number:
WIPO Patent Application WO/2024/077736
Kind Code:
A1
Abstract:
An Internet of Things-oriented machine learning container image download system and a method thereof. The system comprises a master control node and a plurality of computing nodes. The master control node is used for storing and converting a machine learning model and building the machine learning model having the converted format into a machine learning container image; and issuing an image download instruction to the computing nodes after the completion of building image information of the machine learning container image. The computing nodes are used for receiving the image download instruction, downloading the machine learning container image, and starting a machine learning container; and receiving data collected by Internet of Things devices, and returning data processing results to the Internet of Things devices.

Inventors:
ZHANG DENGYIN (CN)
LIU ZIJIE (CN)
CHEN HAORAN (CN)
CHENG YI (CN)
CHEN CAN (CN)
ZHU MENGDA (CN)
XU HUI (CN)
Application Number:
PCT/CN2022/135368
Publication Date:
April 18, 2024
Filing Date:
November 30, 2022
Export Citation:
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Assignee:
UNIV NANJING POSTS & TELECOMMUNICATIONS (CN)
International Classes:
G06F9/455; G06F9/48; G06N20/00; G16Y30/00
Foreign References:
CN112817606A2021-05-18
CN110618821A2019-12-27
CN107733977A2018-02-23
Other References:
LI JUNJIANG: "Design and Implementation of Machine Learning Cloud Platform Based on Kubernetes", MASTER'S THESIS, NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS, 22 November 2021 (2021-11-22), XP093157845, Retrieved from the Internet
ZIJIE LIU: "KubFBS: A fine‐grained and balance‐aware scheduling system for deep learning tasks based on kubernetes", CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE, WILEY, LONDON, GB, vol. 34, no. 11, 15 May 2022 (2022-05-15), GB , pages e6836, XP093157847, ISSN: 1532-0626, DOI: 10.1002/cpe.6836
Attorney, Agent or Firm:
SHENZHEN ELSON PATENT AGENT FIRM (GENERAL PARTNERSHIP) (CN)
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