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Abdelkader Outtagarts
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2020 – today
- 2024
- [j6]Sylvaine Kerboeuf
, Pawani Porambage
Design Methodology for 6G End-to-End System: Hexa-X-II Perspective. IEEE Open J. Commun. Soc. 5: 3368-3394 (2024) - [c30]Lucas Otávio Nascimento De Araújo, Abdelkader Outtagarts:
Sustainability of AI - Energy consumption estimation of an mMTC admission control. CIoT 2024: 1-7 - [c29]Parsa Rajabzadeh, Abdelkader Outtagarts:
Feedback-Driven Federated Learning for Distributed NWDAFs in 5G Core. HPSR 2024: 106-111 - [c28]Abdelmounaim Bouroudi, Abdelkader Outtagarts, Yassine Hadjadj Aoul:
A Novel DRL Framework for Cross-Domain Network Scaling in 6G Networks. HPSR 2024: 118-123 - [c27]David Kule Mukuhi, Abdelkader Outtagarts:
LLRS : A Low Latency Resource Scheduling in Cloud Continuum Orchestration. ICIN 2024: 81-87 - 2023
- [c26]David Kule Mukuhi
Distributed Intelligent Resource Orchestration. 6GNet 2023: 1-3 - [c25]Parsa Rajabzadeh, Abdelkader Outtagarts:
Federated Learning for Distributed NWDAF Architecture. ICIN 2023: 24-26 - [c24]Abdelmounaim Bouroudi, Abdelkader Outtagarts, Yassine Hadjadj Aoul:
Dynamic Machine Learning Algorithm Selection For Network Slicing in Beyond 5G Networks. NetSoft 2023: 314-316 - 2022
- [j5]E. L. Hocine Bouzidi
Dynamic clustering of software defined network switches and controller placement using deep reinforcement learning. Comput. Networks 207: 108852 (2022) - [j4]Ghina Dandachi
A robust control-theory-based exploration strategy in deep reinforcement learning for virtual network embedding. Comput. Networks 218: 109366 (2022) - [c23]Ghina Dandachi, Anouar Rkhami, Yassine Hadjadj Aoul, Abdelkader Outtagarts:
A Robust Monte-Carlo-Based Deep Learning Strategy for Virtual Network Embedding. LCN 2022: 34-41 - [c22]Abdelmounaim Bouroudi, Abdelkader Outtagarts, Yassine Hadjadj Aoul:
Robust Deep Reinforcement Learning Algorithm for VNF-FG Embedding. LCN 2022: 351-354 - 2021
- [j3]Nazih Salhab, Rami Langar, Rana Rahim, Sylvain Cherrier, Abdelkader Outtagarts:
Autonomous Network Slicing Prototype Using Machine-Learning-Based Forecasting for Radio Resources. IEEE Commun. Mag. 59(6): 73-79 (2021) - [j2]EL Hocine Bouzidi
Deep Q-Network and Traffic Prediction based Routing Optimization in Software Defined Networks. J. Netw. Comput. Appl. 192: 103181 (2021) - [c21]Anouar Rkhami, Yassine Hadjadj Aoul, Abdelkader Outtagarts:
Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing. CCNC 2021: 1-6 - [c20]Anouar Rkhami, Yassine Hadjadj Aoul, Gerardo Rubino, Abdelkader Outtagarts:
On the use of machine learning and network tomography for network slices monitoring. HPSR 2021: 1-7 - [c19]Anouar Rkhami, Yassine Hadjadj Aoul, Gerardo Rubino, Abdelkader Outtagarts:
MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring. LCN 2021: 185-192 - 2020
- [c18]Pham Tran Anh Quang
Evolutionary Actor-Multi-Critic Model for VNF-FG Embedding. CCNC 2020: 1-6 - [c17]EL Hocine Bouzidi, Abdelkader Outtagarts, Abdelkrim Hebbar, Rami Langar, Raouf Boutaba:
Online based learning for predictive end-to-end network slicing in 5G networks. ICC 2020: 1-7 - [c16]Anouar Rkhami, Pham Tran Anh Quang, Yassine Hadjadj Aoul, Abdelkader Outtagarts, Gerardo Rubino:
On the Use of Graph Neural Networks for Virtual Network Embedding. ISNCC 2020: 1-6 - [c15]Pham Tran Anh Quang
On Using Deep Reinforcement Learning for VNF Forwarding Graphs Placement. NOF 2020: 126-128
2010 – 2019
- 2019
- [j1]Pham Tran Anh Quang
A Deep Reinforcement Learning Approach for VNF Forwarding Graph Embedding. IEEE Trans. Netw. Serv. Manag. 16(4): 1318-1331 (2019) - [c14]EL Hocine Bouzidi, Abdelkader Outtagarts, Rami Langar:
Deep Reinforcement Learning Application for Network Latency Management in Software Defined Networks. GLOBECOM 2019: 1-6 - [c13]Makram Bouzid, Duc-Hung Luong, Dimitre Kostadinov, Yue Jin, Lorenzo Maggi, Abdelkader Outtagarts, Armen Aghasaryan:
Cooperative AI-based e2e Network Slice Scaling. INFOCOM Workshops 2019: 959-960 - [c12]Duc-Hung Luong, Abdelkader Outtagarts, Yacine Ghamri-Doudane:
Multi-level Resource Scheduling for network slicing toward 5G. NOF 2019: 25-31 - 2018
- [c11]Duc-Hung Luong, Huu-Trung Thieu
Predictive Autoscaling Orchestration for Cloud-native Telecom Microservices. 5G World Forum 2018: 153-158 - [c10]EL Hocine Bouzidi, Duc-Hung Luong, Abdelkader Outtagarts, Abdelkrim Hebbar, Rami Langar:
Online-Based Learning for Predictive Network Latency in Software-Defined Networks. GLOBECOM 2018: 1-6 - [c9]Pham Tran Anh Quang
Deep Reinforcement Learning Based QoS-Aware Routing in Knowledge-Defined Networking. QSHINE 2018: 14-26 - [c8]Duc-Hung Luong, Huu-Trung Thieu
Cloudification and Autoscaling Orchestration for Container-Based Mobile Networks toward 5G: Experimentation, Challenges and Perspectives. VTC Spring 2018: 1-7 - 2017
- [c7]Duc-Hung Luong, Huu-Trung Thieu
Telecom microservices orchestration. NetSoft 2017: 1-2 - 2016
- [c6]Duc-Hung Luong, Abdelkader Outtagarts, Abdelkrim Hebbar:
Traffic Monitoring in Software Defined Networks Using Opendaylight Controller. MSPN 2016: 38-48 - 2015
- [c5]Abdelkader Outtagarts, Laurent Roullet, Bruno Mongazon-Cazavet, Gopalasingham Aravinthan:
When IT Meets Telco: RAN as a Service. UCC 2015: 422-423 - 2013
- [c4]Abdelkader Outtagarts, Abderrazagh Mbodj:
Automatic video programming using LSA and audio transcript. BMSB 2013: 1-5 - 2012
- [c3]Abdelkader Outtagarts, Sylvain Squedin, Olivier Martinot:
Cloud-Based Automatic Video Editing Using Keywords. ICETE (Selected Papers) 2012: 228-241 - [c2]Abdelkader Outtagarts, Abderrazagh Mbodj:
A Cloud-Based Collaborative and Automatic Video Editor. ISM 2012: 380-381 - [c1]Abdelkader Outtagarts, Sylvain Squedin, Olivier Martinot:
Keywords-based Automatic Multimedia Authoring in the Cloud. SIGMAP 2012: 141-147
2000 – 2009
- 2009
- [i1]Abdelkader Outtagarts, Olivier Martinot:
iSSEE: IMS Sensors Search Engine Enabler for Sensors Mashups Convergent Application. CoRR abs/0912.1805 (2009)
Coauthor Index
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last updated on 2024-11-27 21:25 CET by the dblp team
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