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24th HPSR 2023: Albuquerque, NM, USA
- 24th IEEE International Conference on High Performance Switching and Routing, HPSR 2023, Albuquerque, NM, USA, June 5-7, 2023. IEEE 2023, ISBN 978-1-6654-7640-9
- Hyunseok Chang, Fang Hao, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Matteo Varvello:
Optimized SRv6 Multicasting for Network-Assisted Publish-Subscribe Systems. 1-6 - Panagiotis Famelis
, Georgios P. Katsikas, Vasilios Katopodis, Carlos Natalino, Lluis Gifre Renom, Ricardo Martínez, Ricard Vilalta, Dimitrios Klonidis, Paolo Monti, Daniel King
P5: Event-driven Policy Framework for P4-based Traffic Engineering. 1-3 - Patrick Duane, Sihua Shao
Droppable Wireless Mesh Network for Intelligent Mine Rescue System. 1-3 - Debjyoti Sengupta, Sajal K. Das:
Urban Air Mobility: Vision, Challenges and Opportunities. 1-6 - Vasileios Pentsos, Spyros Tragoudas:
A statistical approach to improve CNN classification accuracy. 1-5 - Sergio Barrachina-Muñoz, Engin Zeydan, Luis Blanco, Luca Vettori, Farhad Rezazadeh
Cloud Native Federated Learning for Streaming: An Experimental Demonstrator. 1-3 - Muhammad Shahid Iqbal, Chien Chen:
Instant Queue Occupancy Used For Automatic Traffic Scheduling In Data Center Networks. 1-6 - Liyan Xu, Lei Feng, Wenjing Li:
CTGAN-assisted CNN for high-resolution wireless channel delay estimation. 1-8 - Yoichiro Ueno, Akihiko Tsukahara, Noriharu Miyaho:
Next Generation Connectionless IP router architecture with Switching Delay for URLLC Services. 1-6 - Jin Zhang
A Multi-Table Programmable Parser for Satellite Networks. 1-6 - Elie El-Rif, Aris Leivadeas, Matthias Falkner:
Intent Expression Through Natural Language Processing in an Enterprise Network. 1-6 - William Pan, Roman Kolcun, Richard Mortier:
Anonymising Video Data Collection at the Edge Using DeepDish. 7-13 - Zhimin Tang, Rujie Zhao, Linkai Luo, Haibo Wang, Chao Lu:
Constraints-Aware Training (CAT) to Enable Software-Hardware Co-design for Memristor-based Analog Neuromorphic Chip. 20-26 - Ourania Spantidi, Iraklis Anagnostopoulos:
The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference. 27-32 - Danushka Senarathna
Detection and Quantization of Data Drift in Image Classification Neural Networks. 38-42 - Jingjing Yao
Split Learning for Image Classification in Internet of Drones Networks. 52-55 - Yanan Zhang, Xin-Xin Guo, Maode Ma:
ADMBIFA: Accurate Detection and Mitigation of Blended Interest Flooding Attacks in NDNs. 56-61 - Garegin Grigoryan
Towards Greener Data Centers via Programmable Data Plane. 62-67 - Dena Markudova, Michela Meo
ReCoCo: Reinforcement learning-based Congestion control for Real-time applications. 68-74 - Tian Zixu
ADSeq-5GCN: Anomaly Detection from Network Traffic Sequences in 5G Core Network Control Plane. 75-82 - Alessio Sacco, Antonino Angi
HINT: Supporting Congestion Control Decisions with P4-driven In-Band Network Telemetry. 83-88 - Ufuk Usubütün
Do Switches Still Need to Deliver Packets in Sequence? 89-95 - Shintaro Ozaki, Takehiro Sato, Eiji Oki:
Multicast Service Chaining Model Guaranteeing Reliability with Multiple Sources. 96-101 - Umakant Kulkarni, Yufeng Chen, Patrick Melampy, Sonia Fahmy
Toward QoE-based Routing Path Selection. 114-119 - Thierry Arrabal, Marija Stojanova
Experiment-driven platform for link quality estimation in IEEE 802.11 WLANs. 134-139 - Antonio Capone, Maurizio Decina, Aldo Milan, Marco Petracca:
Modelling the Performance of High Capacity Access Networks for the Benefit of End-Users and Public Policies. 140-145 - Bo-Jun Qiu, Jyh-Cheng Chen, Falko Dressler:
TSOA: Two-State Offloading Algorithm from Users to Co-Located Vehicular Microclouds. 146-152 - Yufei Peng, Yingya Guo, Run Hao, Junda Lin:
Network Traffic Prediction with Attention-based Spatial-Temporal Graph Network. 153-158 - Xinpeng Hong
LOBIN: In-Network Machine Learning for Limit Order Books. 159-166 - Binghui Wu, Dongbo Chen, Nalam Venkata Abhishek
D3T: Double Deep Q-Network Decision Transformer for Service Function Chain Placement. 167-172 - Luca Barsellotti, Lorenzo De Marinis, Filippo Cugini, Francesco Paolucci
FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network for DDoS Attack Detection. 173-178 - Marios Avgeris
A Two-Stage Cooperative Reinforcement Learning Scheme for Energy-Aware Computational Offloading. 179-184 - Jingjing Yao
Energy-Efficient Federated Learning in Internet of Drones Networks. 185-190 - Engin Zeydan, Josep Mangues, Suayb S. Arslan
Self-Sovereign Identity Management for Hierarchical Federated Learning in Vehicular Networks. 191-196 - Anum Talpur, Mohan Gurusamy:
DOSM: Demand-Prediction based Online Service Management for Vehicular Edge Computing Networks. 197-203 - Xin Liu, Yangming Zhao, Adel W. Sadek, Chunming Qiao:
Autonomous Electric Vehicles as Mobile Green Energy Sources. 210-216
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