Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024

James, Won-Ki Hong [szerk.]; Seung-Joon, Seok [szerk.]; Yuji, Nomura [szerk.]; You-Chiun, Wang [szerk.]; Baek-Young, Choi [szerk.]; Myung-Sup, Kim [szerk.]; Roberto, Riggio [szerk.]; Meng-Hsun, Tsai [szerk.]; Carlos, Raniery Paula dos Santos [szerk.]

Angol nyelvű Konferenciakötet (Könyv) Tudományos

Megjelent: Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), Amerikai Egyesült Államok 2024

Konferencia: NOMS 2024-2024 IEEE Network Operations and Management Symposium 2024-05-06 [Seoul, Dél-Korea]

Sorozatok: Proceedings - IEEE IFIP Network Operations and Management Symposium 1542-1201 2374-9709

Azonosítók

MTMT: 35086565
ISBN: 9798350327939

Fejezetek

Abu Naim Belal et al. A Generic Framework for Resource-Limited Microcontrollers Deployment in I-IoT Systems. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Akem Aristide Tanyi-Jong et al. Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Azim M.R.S. et al. A Quantal Response Analysis of Simultaneous Multi-Target Attacker-Defender Security Games. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Baek Ui-Jun et al. Lightweight Multi-Input Shape CNN-based Application Traffic Classification. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Balany Mohit et al. Is It Time to Upgrade From CRC-32?. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Balla Dávid et al. Time Sensitive Industrial Applications in Kubernetes. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Bipon A. Almazi et al. Radio Environment Maps through Spatial Interpolation: A Web-based Approach. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Burgaleta Angela et al. Framework for the development of a Network Digital Twin. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Costa Filipo G. et al. PIPO-TG: Parameterizable High-Performance Traffic Generation. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Dahlmanns Markus et al. Unconsidered Installations: Discovering IoT Deployments in the IPv6 Internet. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Guo Mengjie et al. Adaptive Configuration with Deep Reinforcement Learning in Software-Defined Time-Sensitive Networking. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Hegedűs Csaba et al. Co-pilots for Arrowhead-based Cyber-Physical System of Systems Engineering. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Hollósi Gergely et al. AIMS5.0 AI Toolbox: Enabling Efficient Knowledge Sharing for Industrial AI. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Kim Hee-Gon et al. AI-based Network Function Virtualization Orchestration. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Kim Hyeonsu et al. Energy-Efficient Trajectory and Age of Information Optimization for Urban Air Mobility. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Lamb Ivan Peter et al. Multi-Tenant Programmable Switch Virtualization Architecture. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Nakamura Ryo et al. A Preliminary Study on the Aggregation of FIBs at ICN Routers using Routing Strategy. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Park Yu Min et al. Joint User Pairing and Beamforming Design of Multi-STAR-RISs-Aided NOMA in the Indoor Environment via Multi-Agent Reinforcement Learning. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Rieger Sebastian et al. ProNA: A Virtual Lab Framework to Teach Network Automation and SDN in Undergraduate Courses. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Saleh Saad et al. Adaptive In-Network Queue Management using Derivatives of Sojourn Time and Buffer Size. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Tamura Yuki et al. OLIViS: An OSINT-Based Lightweight Method for Identifying Video Services in Backbone ISPs. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Tariq Ali et al. Accelerating Containerized Machine Learning Workloads. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Tóthfalusi Tamás et al. Utilizing Generative AI for Test Data Generation - use-cases for IoT and 5G Core Signaling. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Valente Francesco et al. Proposal and Investigation of a Distributed Learning Strategy for training of Neural Networks in Earth Observation Application Scenarios. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Varga Pál et al. MLOps in CPS - A use-case for image recognition in changing industrial settings. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Wieme J. et al. Digital Twin Network for dynamic management of a Bluetooth Mesh Network. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Wuestrich Lars et al. Shells Bells: Cyber-Physical Anomaly Detection in Data Centers. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Yasuda Kazuhiro et al. Impact of Graph-to-Sequence Conversion Methods on the Accuracy of Graph Generation for Network Simulations. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Boch Michael et al. Harvesting Innovation: Analysis of Decentralized MAPE-K Loops in Cyber-Physical Production Systems. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024 pp. 1-7
Colombi Lorenzo et al. A Machine Learning Operations Platform for Streamlined Model Serving in Industry 5.0. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024 pp. 1-6
Dahdal Simon et al. Enabling Big Data and Machine Learning Applications in High-Stakes Environments. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024 pp. 1-4
Nguyen Thanh-Nguyen et al. A Design and Development of Operator for Logical Kubernetes Cluster over Distributed Clouds. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024 pp. 1-6
Patowary Ranjan et al. Correctness of Flow Migration for Service Function Chains. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024 pp. 1-9
Rieger Sebastian et al. DigSiNet: Using Multiple Digital Twins to Provide Rhythmic Network Consistency. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024 pp. 1-5
Zaccarini Mattia et al. The Evolution of Kubernetes Management: Introducing the KubeTwin Framework. (2024) Megjelent: Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024 pp. 1-4

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Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024

James, Won-Ki Hong [szerk.]; Seung-Joon, Seok [szerk.]; Yuji, Nomura [szerk.]; You-Chiun, Wang [szerk.]; Baek-Young, Choi [szerk.]; Myung-Sup, Kim [szerk.]; Roberto, Riggio [szerk.]; Meng-Hsun, Tsai [szerk.]; Carlos, Raniery Paula dos Santos [szerk.]

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