| Title: |
D3.1 Initial report on system and methods for AI@EDGE platform automation |
| Authors: |
Brito, Flávio; Jiang, Wei; Linder, Neiva; Reti, Daniel; Riggio, Roberto; Rao, Akhila; Lindgren, Anders; Sorathiya, Nimish; Cervelló Pastor, Cristina; Coronado Calero, Estefanía; François, Jérôme; Anser, Omar; Proietto-Stallone, Jonathan; Petit, Antoine |
| Contributors: |
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica; Universitat Politècnica de Catalunya. BAMPLA - Disseny i Avaluació de Xarxes i Serveis de Banda Ampla |
| Publication Year: |
2022 |
| Collection: |
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge |
| Subject Terms: |
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. ; 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) ; Postprint (published version) |
| Document Type: |
report |
| File Description: |
90 p.; application/pdf |
| Language: |
English |
| Relation: |
info:eu-repo/grantAgreement/EC/H2020/101015922/EU/A secure and reusable Artificial Intelligence platform for Edge computing in beyond 5G Networks/AIatEDGE; Brito, F. [et al.]. D3.1 Initial report on system and methods for AI@EDGE platform automation. 2022.; https://hdl.handle.net/2117/407133 |
| Availability: |
https://hdl.handle.net/2117/407133; https://aiatedge.eu/wp-content/uploads/2022/03/AI@EDGE_D3.1_Initial-report-of-systems-and-methods-for-AI@EDGE-platform-automation.pdf |
| Rights: |
Open Access |
| Accession Number: |
edsbas.E7E29101 |
| Database: |
BASE |