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Grant: Idea to Innovation

Université d'Ottawa

$175,000.00

ARE: Action Recommendation Engine for Network Operations Centers (Phase IIb)

EF 2023-24

Résumé
The goal of this project is to provide evidence of real-world deployability and transfer the technology of an invention by the University of Ottawa's research team to the multinational telecommunications company Ciena Corp. (hereafter Ciena) which has significant business and R&D operations in Canada. The research prototype of the invention, called Action Recommendation Engine (ARE), was developed from October 2018 to June 2021 under a $287,635.43 MITACS Accelerate Cluster research project in partnership with Ciena, and is now ready and successfully verified in a lab setting. ARE is an Artificial Intelligence (AI) based system that (1) automatically detects problems in IP networks, (2) gives recommendations on how to fix those problems, and (3) gives recommendations on taking actions to minimize network provider's cost while maximizing users' quality of experience (QoE). ARE can be deployed either as a recommender, requiring a human operator to apply/override the recommended actions, or as a fully autonomous action taker in a human-out-of-the-loop fashion. ARE's applications are mainly in Network Operations Centers (NOC), where ARE can lead to a significant reduction in operation costs by automating some or all of NOC's manual operationsThe objectives of this project are to finetune ARE for a real environment and to integrate it inside a realistic tool such as the company's Blue PlanetTM Intelligent Automation product line in order to validate ARE's design and implementation in a practical customer setting. At the end of this project, we will have finetuned the ARE technology and established evidence of its technical readiness and real-world deployability, while Ciena will have acquired the technical capability to take ARE to the market. Ciena has exclusively licensed ARE and has also patented it.
Programme
Idea to Innovation
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
571962-2022
Name nom
Shirmohammadi, Shervin S
Department département
Electrical Engineering and Computer Science , School of
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
175000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
803
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer communications
Area of application fr
Téléinformatique
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Artificial intelligence (computer vision, use2603)
Research subject en
Intelligence artificielle
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Application title
ARE: Action Recommendation Engine for Network Operations Centers (Phase IIb)
Keyword
artificial intelligence; autonomous networks; machine learning; network management; network operation center
Application summary
The goal of this project is to provide evidence of real-world deployability and transfer the technology of an invention by the University of Ottawa's research team to the multinational telecommunications company Ciena Corp. (hereafter Ciena) which has significant business and R&D operations in Canada. The research prototype of the invention, called Action Recommendation Engine (ARE), was developed from October 2018 to June 2021 under a $287,635.43 MITACS Accelerate Cluster research project in partnership with Ciena, and is now ready and successfully verified in a lab setting. ARE is an Artificial Intelligence (AI) based system that (1) automatically detects problems in IP networks, (2) gives recommendations on how to fix those problems, and (3) gives recommendations on taking actions to minimize network provider's cost while maximizing users' quality of experience (QoE). ARE can be deployed either as a recommender, requiring a human operator to apply/override the recommended actions, or as a fully autonomous action taker in a human-out-of-the-loop fashion. ARE's applications are mainly in Network Operations Centers (NOC), where ARE can lead to a significant reduction in operation costs by automating some or all of NOC's manual operationsThe objectives of this project are to finetune ARE for a real environment and to integrate it inside a realistic tool such as the company's Blue PlanetTM Intelligent Automation product line in order to validate ARE's design and implementation in a practical customer setting. At the end of this project, we will have finetuned the ARE technology and established evidence of its technical readiness and real-world deployability, while Ciena will have acquired the technical capability to take ARE to the market. Ciena has exclusively licensed ARE and has also patented it.