D3.1 Initial report on system and methods for AI@EDGE platform automation

An initial report is given on the systems and methods developed for the automation of the AI@EDGE connect-compute platform. The reported achievements are the progress towards project overall Objective 3 on a general-purpose network automation framework. The Network and Service Automation Platform (N...

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Autores: Brito, Flávio, Jiang, Wei, Linder, Neiva, Reti, Daniel, Riggio, Roberto, Rao, Akhila, Lindgren, Anders, Sorathiya, Nimish, Cervelló Pastor, Cristina|||0000-0002-8056-0774, Coronado Calero, Estefanía, François, Jérôme, Anser, Omar, Proietto-Stallone, Jonathan, Petit, Antoine
Formato: informe técnico
Fecha de publicación:2022
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/407133
Acesso em linha:https://hdl.handle.net/2117/407133
Access Level:acceso abierto
Palavra-chave:Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
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spelling D3.1 Initial report on system and methods for AI@EDGE platform automationBrito, FlávioJiang, WeiLinder, NeivaReti, DanielRiggio, RobertoRao, AkhilaLindgren, AndersSorathiya, NimishCervelló Pastor, Cristina|||0000-0002-8056-0774Coronado Calero, EstefaníaFrançois, JérômeAnser, OmarProietto-Stallone, JonathanPetit, AntoineÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadorsAn initial report is given on the systems and methods developed for the automation of the AI@EDGE connect-compute platform. The reported achievements are the progress towards project overall Objective 3 on a general-purpose network automation framework. The Network and Service Automation Platform (NSAP) hosts the network automation functionality within the overall AI@EDGE system architecture. The NSAP uses closed-loop network intelligence, where the goal is to relieve the human operator as far as possible from the need to take manual action to operate the system. The concept of closed-loop control is described by several steps that form the loop, including sensor, monitor, aggregator, training/inferring, decision making, action enforcer, orchestrator, and actuator. Several methods for automation and learning in MEC and cloud systems have been developed.Article signat per 23 autors/es:Salah BIN RUBA (CNAM), Chi-Dung PHUNG (CNAM), Alessio DIAMANTI (CNAM), Stefano SECCI (CNAM), Miguel CATALAN-CID (i2CAT), Daniel F. Perez-Ramirez (RISE), Cristina Costa (FBK), Arfan Wahla (FBK) Rasoul Behravesh (FBK), Nicola DI PIETRO (ATH)20222022-01-3120242024-04-25reporthttp://purl.org/coar/resource_type/c_93fcVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/2117/407133reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 101015922 A secure and reusable Artificial Intelligence platform for Edge computing in beyond 5G Networksopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4071332026-05-27T15:37:01Z
dc.title.none.fl_str_mv D3.1 Initial report on system and methods for AI@EDGE platform automation
title D3.1 Initial report on system and methods for AI@EDGE platform automation
spellingShingle D3.1 Initial report on system and methods for AI@EDGE platform automation
Brito, Flávio
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
title_short D3.1 Initial report on system and methods for AI@EDGE platform automation
title_full D3.1 Initial report on system and methods for AI@EDGE platform automation
title_fullStr D3.1 Initial report on system and methods for AI@EDGE platform automation
title_full_unstemmed D3.1 Initial report on system and methods for AI@EDGE platform automation
title_sort D3.1 Initial report on system and methods for AI@EDGE platform automation
dc.creator.none.fl_str_mv Brito, Flávio
Jiang, Wei
Linder, Neiva
Reti, Daniel
Riggio, Roberto
Rao, Akhila
Lindgren, Anders
Sorathiya, Nimish
Cervelló Pastor, Cristina|||0000-0002-8056-0774
Coronado Calero, Estefanía
François, Jérôme
Anser, Omar
Proietto-Stallone, Jonathan
Petit, Antoine
author Brito, Flávio
author_facet Brito, Flávio
Jiang, Wei
Linder, Neiva
Reti, Daniel
Riggio, Roberto
Rao, Akhila
Lindgren, Anders
Sorathiya, Nimish
Cervelló Pastor, Cristina|||0000-0002-8056-0774
Coronado Calero, Estefanía
François, Jérôme
Anser, Omar
Proietto-Stallone, Jonathan
Petit, Antoine
author_role author
author2 Jiang, Wei
Linder, Neiva
Reti, Daniel
Riggio, Roberto
Rao, Akhila
Lindgren, Anders
Sorathiya, Nimish
Cervelló Pastor, Cristina|||0000-0002-8056-0774
Coronado Calero, Estefanía
François, Jérôme
Anser, Omar
Proietto-Stallone, Jonathan
Petit, Antoine
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
topic Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
description An initial report is given on the systems and methods developed for the automation of the AI@EDGE connect-compute platform. The reported achievements are the progress towards project overall Objective 3 on a general-purpose network automation framework. The Network and Service Automation Platform (NSAP) hosts the network automation functionality within the overall AI@EDGE system architecture. The NSAP uses closed-loop network intelligence, where the goal is to relieve the human operator as far as possible from the need to take manual action to operate the system. The concept of closed-loop control is described by several steps that form the loop, including sensor, monitor, aggregator, training/inferring, decision making, action enforcer, orchestrator, and actuator. Several methods for automation and learning in MEC and cloud systems have been developed.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-31
2024
2024-04-25
dc.type.none.fl_str_mv report
http://purl.org/coar/resource_type/c_93fc
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/407133
url https://hdl.handle.net/2117/407133
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 101015922 A secure and reusable Artificial Intelligence platform for Edge computing in beyond 5G Networks
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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