A Comprehensive Survey on Machine Learning for Networking: Evolution, Applications and Research Opportunities R Boutaba, MA Salahuddin, N Limam, S Ayoub, N Shahriar, ... Journal of Internet Services and Applications, 1-102, 2018 | 1107 | 2018 |
Machine Learning for Cognitive Network Management S Ayoubi, N Limam, MA Salahuddin, N Shahriar, R Boutaba, ... IEEE Computer Communications 56 (1), 158 - 165, 2018 | 242 | 2018 |
Intelligent Routing based on Reinforcement Learning for Software-Defined Networking D Casas-Velasco, C Oscar, N Fonseca IEEE Transactions on Network and Service Management, 12, 2020 | 104 | 2020 |
Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey J Hurtado, C Katherine, C Oscar Sensors 22 (8), 32, 2022 | 64* | 2022 |
An adaptive scaling mechanism for managing performance variations in network functions virtualization: A case study in an nfv-based epc CHT Arteaga, F Risso, OMC Rendon 2017 13th International Conference on Network and Service Management (CNSM), 1-7, 2017 | 54 | 2017 |
DRSIR: A deep reinforcement learning approach for routing in software-defined networking DM Casas-Velasco, OMC Rendon, NLS da Fonseca IEEE Transactions on Network and Service Management 19 (4), 4807-4820, 2021 | 45 | 2021 |
Architectures for web services access from mobile devices OMC Rendon, FOM Pabón, MJG Vargas, JAH Guaca Third Latin American Web Congress (LA-WEB'2005), 5 pp., 2005 | 39* | 2005 |
Scalability and Performance Analysis in 5G Core Network Slicing C Tobar, A Ordonez, O Caicedo IEEE Access 8, 142086 - 142100, 2020 | 31* | 2020 |
NELLY: Flow Detection Using Incremental Learning at the Server-Side of SDN-based Data Centers F Estrada-Solano, O Caicedo, N Fonseca IEEE Transactions on Industrial Informatics, 2019 | 29 | 2019 |
5G and beyond: past, present and future of the mobile communications CA Gutierrez, O Caicedo, DU Campos-Delgado IEEE Latin America Transactions 19 (10), 1702-1736, 2021 | 25 | 2021 |
An Approach Based on Fog Computing for Providing Reliability in IoT Data Collection: A Case Study in a Colombian Coffee Smart Farm MM Ana, C Oscar Applied Sciences 10 (24), 16, 2020 | 25* | 2020 |
IPro: An Approach for Intelligent SDN Monitoring E Castillo, L Granville, A Ordonez, O Caicedo Elsevier Computer Networks, 18, 2020 | 25 | 2020 |
A framework for SDN integrated management based on a CIM model and a vertical management plane F Estrada-Solano, A Ordonez, LZ Granville, OMC Rendon Computer Communications 102, 150-164, 2017 | 25 | 2017 |
IP traffic classification in NFV: A benchmarking of supervised Machine Learning algorithms J Vergara-Reyes, MC Martinez-Ordonez, A Ordonez, OMC Rendon 2017 IEEE Colombian Conference on Communications and Computing (COLCOM), 1-6, 2017 | 23 | 2017 |
Admission control for 5G core network slicing based on deep reinforcement learning WF Villota-Jacome, OMC Rendon, NLS da Fonseca IEEE Systems Journal 16 (3), 4686-4697, 2022 | 22 | 2022 |
A Scaling Mechanism for an Evolved Packet Core based on Network Functions Virtualization C Tobar, B Faiber, K Tobar, O Caicedo IEEE Transactions on Network and Service Management, 12, 2019 | 22* | 2019 |
An Approach Based on Knowledge-Defined Networking for Identifying Heavy-Hitter Flows in Data Center Networks A Duque-Torres, F Amezquita-Suárez, OM Caicedo Rendon, JA Ordóñez, ... Applied Sciences 9 (22), 19, 2019 | 19 | 2019 |
An efficient mice flow routing algorithm for data centers based on software-defined networking F Amezquita-Suarez, F Estrada-Solano, NLS da Fonseca, OMC Rendón ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 13 | 2019 |
A mashup-based approach for virtual SDN management OMC Rendon, F Estrada-Solano, LZ Granville 2013 IEEE 37th Annual Computer Software and Applications Conference, 143-152, 2013 | 13 | 2013 |
Knowledge Discovery: Can it shed new light on threshold definition for heavy-hitter detection? A Pekar, A Duque-Torres, S Winston, O Caicedo Journal of Network and Systems Management 29, 30, 2021 | 11 | 2021 |