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EP4285280A4 - Systems and methods for artificial intelligence-defined networking - Google Patents

Systems and methods for artificial intelligence-defined networking
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Publication number
EP4285280A4
EP4285280A4EP22746671.1AEP22746671AEP4285280A4EP 4285280 A4EP4285280 A4EP 4285280A4EP 22746671 AEP22746671 AEP 22746671AEP 4285280 A4EP4285280 A4EP 4285280A4
Authority
EP
European Patent Office
Prior art keywords
systems
methods
artificial intelligence
defined networking
networking
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP22746671.1A
Other languages
German (de)
French (fr)
Other versions
EP4285280A1 (en
Inventor
Remington DECHENE
Michael Catalano
Snigdha Bhardwaj
Nicole BRIDGLAND
Achal SHARMA
Xialing ULRICH
Navni AGARWAL
Timothy SCHOCH
Rui Zhang
Pradeep Singh GAUR
Troy SIPPRELLE
Jonathan Malchi
Henry STOLTENBERG
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
World Wide Technology Holding Co LLC
Original Assignee
World Wide Technology Holding Co LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US17/162,691external-prioritypatent/US20220245462A1/en
Priority claimed from US17/162,719external-prioritypatent/US11606265B2/en
Priority claimed from US17/162,704external-prioritypatent/US12175364B2/en
Application filed by World Wide Technology Holding Co LLCfiledCriticalWorld Wide Technology Holding Co LLC
Publication of EP4285280A1publicationCriticalpatent/EP4285280A1/en
Publication of EP4285280A4publicationCriticalpatent/EP4285280A4/en
Pendinglegal-statusCriticalCurrent

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EP22746671.1A2021-01-292022-01-28Systems and methods for artificial intelligence-defined networkingPendingEP4285280A4 (en)

Applications Claiming Priority (4)

Application NumberPriority DateFiling DateTitle
US17/162,691US20220245462A1 (en)2021-01-292021-01-29Training a digital twin in artificial intelligence-defined networking
US17/162,719US11606265B2 (en)2021-01-292021-01-29Network control in artificial intelligence-defined networking
US17/162,704US12175364B2 (en)2021-01-292021-01-29Reinforcement-learning modeling interfaces
PCT/US2022/014263WO2022165143A1 (en)2021-01-292022-01-28Systems and methods for artificial intelligence-defined networking

Publications (2)

Publication NumberPublication Date
EP4285280A1 EP4285280A1 (en)2023-12-06
EP4285280A4true EP4285280A4 (en)2024-12-11

Family

ID=82653882

Family Applications (1)

Application NumberTitlePriority DateFiling Date
EP22746671.1APendingEP4285280A4 (en)2021-01-292022-01-28Systems and methods for artificial intelligence-defined networking

Country Status (4)

CountryLink
EP (1)EP4285280A4 (en)
AU (1)AU2022212094A1 (en)
CA (1)CA3210058A1 (en)
WO (1)WO2022165143A1 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
WO2022226713A1 (en)*2021-04-262022-11-03华为技术有限公司Method and apparatus for determining policy
CN116055324B (en)*2022-12-302024-05-07重庆邮电大学 A digital twin approach for data center network self-optimization
EP4428761A1 (en)*2023-03-092024-09-11Siemens AktiengesellschaftMethod for training a neural policy network
CN116260765B (en)*2023-05-112023-07-18中国人民解放军国防科技大学Digital twin modeling method for large-scale dynamic routing network
CN118741360A (en)*2024-06-282024-10-01北京邮电大学 Optical transport network digital twin model management method and system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US9509631B2 (en)*2014-12-162016-11-29Telefonaktiebolaget L M Ericsson (Publ)Quality of service (QoS) for information centric networks
US11354593B2 (en)*2019-06-142022-06-07Subcom, LlcTechniques to generate network simulation scenarios

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
LI-QIONG DENG ET AL: "Design of architecture and function for distributed communication network simulation training system (DCSS)", 2016 FIRST IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND THE INTERNET (ICCCI), IEEE, 13 October 2016 (2016-10-13), pages 108 - 111, XP033019419, ISBN: 978-1-4673-8514-5, [retrieved on 20161208], DOI: 10.1109/CCI.2016.7778888*
MORATO ALBERTO ET AL: "A Profinet Simulator for the Digital Twin of Networked Electrical Drive Systems", 2020 25TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), IEEE, vol. 1, 8 September 2020 (2020-09-08), pages 1099 - 1102, XP033835675, DOI: 10.1109/ETFA46521.2020.9212017*
See also references ofWO2022165143A1*
YAO ZAN ET AL: "DQN-based energy-efficient routing algorithm in software-defined data centers", INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, vol. 16, no. 6, 1 June 2020 (2020-06-01), XP055953816, ISSN: 1550-1477, Retrieved from the Internet <URL:http://journals.sagepub.com/doi/full-xml/10.1177/1550147720935775> DOI: 10.1177/1550147720935775*
YU CHANGHE ET AL: "DROM: Optimizing the Routing in Software-Defined Networks With Deep Reinforcement Learning", IEEE ACCESS, vol. 6, 23 October 2018 (2018-10-23), pages 64533 - 64539, XP011697994, DOI: 10.1109/ACCESS.2018.2877686*

Also Published As

Publication numberPublication date
AU2022212094A1 (en)2023-09-14
EP4285280A1 (en)2023-12-06
CA3210058A1 (en)2022-08-04
WO2022165143A1 (en)2022-08-04

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