Machine learning-driven service function chain placement and scaling in MEC-enabled 5G networks T Subramanya, D Harutyunyan, R Riggio Computer Networks 166, 106980, 2020 | 91 | 2020 |
Centralized and federated learning for predictive VNF autoscaling in multi-domain 5G networks and beyond T Subramanya, R Riggio IEEE Transactions on Network and Service Management 18 (1), 63-78, 2021 | 88 | 2021 |
Blockchain-based Infrastructure Sharing in 5G Small Cell Networks B Mafakheri, T Subramanya, L Goratti, R Riggio 14th International Conference on Network and Service Management (CNSM), 2018 | 63 | 2018 |
Zero touch management: A survey of network automation solutions for 5G and 6G networks E Coronado, R Behravesh, T Subramanya, A Fernàndez-Fernàndez, ... IEEE Communications Surveys & Tutorials 24 (4), 2535-2578, 2022 | 56 | 2022 |
AI-driven Zero-touch Operations, Security and Trust in Multi-operator 5G Networks: a Conceptual Architecture G Carrozzo, MS Siddiqui, A Betzler, J Bonnet, GM Perez, A Ramos, ... 2020 European Conference on Networks and Communications (EuCNC), 254-258, 2020 | 52 | 2020 |
Machine learning-driven Scaling and Placement of Virtual Network Functions at the Network Edges T Subramanya, R Riggio 5th International Conference on Network Softwarization (NetSoft), 2019, 2019 | 42 | 2019 |
AI and ML–Enablers for beyond 5G Networks A Kaloxylos, A Gavras, D Camps, M Ghoraishi, H Hrasnica | 35 | 2021 |
LightMANO: Converging NFV and SDN at the Edges of the Network R Riggio, SN Khan, T Subramanya, IGB Yahia, D Lopez NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2018 | 25 | 2018 |
Intent-based mobile backhauling for 5G networks T Subramanya, R Riggio, T Rasheed 2016 12th International Conference on Network and Service Management (CNSM …, 2016 | 24 | 2016 |
A practical architecture for mobile edge computing T Subramanya, L Goratti, SN Khan, E Kafetzakis, I Giannoulakis, R Riggio 2017 IEEE Conference on Network Function Virtualization and Software Defined …, 2017 | 21 | 2017 |
SDEC: A platform for software defined mobile edge computing research and experimentation T Subramanya, L Goratti, SN Khan, E Kafetzakis, I Giannoulakis, R Riggio 2017 IEEE Conference on Network Function Virtualization and Software Defined …, 2017 | 13 | 2017 |
lightMEC: A Vendor-Agnostic Platform for Multi-access Edge Computing T Subramanya, G Baggio, R Riggio 14th International Conference on Network and Service Management (CNSM), 2018 | 12 | 2018 |
Intent-driven network and service management: Definitions, modeling and implementation SS Mwanje, A Banerjee, J Goerge, A Abdelkader, G Hannak, P Szilagyi, ... Authorea Preprints, 2023 | 7 | 2023 |
ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems N Apostolakis, M Gramaglia, LE Chatzieleftheriou, T Subramanya, ... IEEE Journal on Selected Areas in Communications, 2023 | 1 | 2023 |
Trust related management of artificial intelligence or machine learning pipelines ALIT Janne, T Subramanya US Patent App. 17/718,552, 2023 | 1 | 2023 |
Abnormal model behavior detection C Aggarwal, S Khare, T Subramanya US Patent App. 18/364,864, 2024 | | 2024 |
Method and apparatus for determining and utilizing a trust indication in mobile networks B Gajic, GP GOMEZ, S Khare, T Subramanya US Patent App. 18/337,279, 2023 | | 2023 |
Federated learning T Subramanya, S Khare, C Aggarwal US Patent App. 17/734,510, 2023 | | 2023 |
Trust related management of artificial intelligence or machine learning pipelines in relation to the trustworthiness factor explainability ALIT Janne, T Subramanya, B Gajic US Patent App. 17/874,791, 2023 | | 2023 |
Autonomic Management and Orchestration Strategies in MEC-Enabled 5G Networks T Subramanya Università degli studi di Trento, 2021 | | 2021 |