Ein Teil der Daten, die dieser Anbieter gesammelt hat, dient der Personalisierung und der Messung der Werbewirksamkeit.
Ein Teil der Daten, die dieser Anbieter gesammelt hat, dient der Personalisierung und der Messung der Werbewirksamkeit.
Professor
Lehrgebiet: Rechnernetze und Verteilte Systeme
nach Vereinbarung
On the Construction of Optimal Embedding Problems for Delay-Sensitive Service Function Chains.
pg. 1-10
(2019)
Performance Benchmarking of Virtualized Network Functions to Correlate Key Performance Metrics with System Activity.
IEEE pg. 73-81
DOI: 10.1109/NoF50125.2020.9249199
(2020)
Service Function Chain Placement for Joint Cost and Latency Optimization.
In: Mobile Networks and Applications (vol. 25) , pg. 2191-2205
(2020)
A Performance Modelling Approach for SLA-Aware Resource Recommendation in Cloud Native Network Functions.
IEEE pg. 292-300
DOI: 10.1109/NetSoft48620.2020.9165482
(2020)
Toward In-Network Event Detection and Filtering for Publish/Subscribe Communication Using Programmable Data Planes.
In: IEEE Transactions on Network and Service Management (vol. 18) , pg. 415-428
(2021)
Revitalizing Industrial Networking with Programmable Data Planes.
(2021)
Quantifying Uncertainty for Predicting Renewable Energy Time Series Data Using Machine Learning.
Basel, Switzerland: MDPI pg. 50
DOI: 10.3390/engproc2021005050
(2021)
BNG-HAL: A Unified API for Disaggregated BNGs.
IEEE pg. 116-119
DOI: 10.1109/NFV-SDN53031.2021.9665122
(2021)
A Randomized Greedy Heuristic for Steerable Wireless Backhaul Reconfiguration.
In: Electronics (vol. 10) , pg. 434
(2021)
Providing In-network Support to Coflow Scheduling.
IEEE pg. 235-243
DOI: 10.1109/NetSoft51509.2021.9492530
(2021)
Software-Defined Time Sensitive Networks Configuration and Management.
IEEE pg. 124-128
DOI: 10.1109/NFV-SDN53031.2021.9665120
(2021)
PerfSim: A Performance Simulator for Cloud Native Microservice Chains.
In: IEEE Transactions on Cloud Computing , pg. 1-1
(2021)
Integration of AI, IoT and Edge-Computing for Smart Microgrid Energy Management.
IEEE pg. 1-6
DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584756
(2021)
Multi-Objective Genetic Algorithm for Fast Service Function Chain Reconfiguration.
In: IEEE Transactions on Network and Service Management , pg. 1-1
(2022)
Robust and energy-efficient user association and traffic routing in B5G HetNets.
In: Computer Networks (vol. 217) , pg. 109305
(2022)
MultiScaler: A Multi-Loop Auto-Scaling Approach for Cloud-Based Applications.
In: IEEE Transactions on Cloud Computing (vol. 10) , pg. 2769-2786
(2022)
Impact of Clustering Methods on Machine Learning based Solar Power Prediction Models.
(2022)
Accelerating a Transport Layer Based 5G Multi-Access Proxy on SmartNIC.
(2022)
Using Deep Reinforcement Learning for Zero Defect Smart Forging.
(2022)
In-network Support for Packet Reordering for Multiaccess Transport Layer Tunneling.
IEEE pg. 1-6
DOI: 10.23919/PEMWN56085.2022.9963814
(2022)
Towards the optimal orchestration of steerable mmWave backhaul reconfiguration.
In: Computer Networks (vol. 205) , pg. 108750
(2022)
From concept drift to model degradation: An overview on performance-aware drift detectors.
In: Knowledge-Based Systems (vol. 245) , pg. 108632
(2022)
Hybrid P4 Programmable Pipelines for 5G gNodeB and User Plane Functions.
In: IEEE Transactions on Mobile Computing , pg. 1-18
(2022)
IntOpt: In-band Network Telemetry optimization framework to monitor network slices using P4.
In: Computer Networks (vol. 216) , pg. 109214
(2022)
Robust Operation of Energy Communities in the Italian Incentive System.
DOI: 10.1109/ISGTEUROPE56780.2023.10408430
(2023)
Quantum Machine Learning in Climate Change and Sustainability: a Short Review.
DOI: 10.1609/aaaiss.v2i1.27657
(2023)
Performance Measurements of Broadband Network Gateways.
pg. 16-17
(2023)
Robust opportunistic optimal energy management of a mixed microgrid under asymmetrical uncertainties.
In: Sustainable Energy, Grids and Networks (vol. 36) , pg. 101184
(2023)
DOI: 10.1016/j.segan.2023.101184
TSN Network Scheduling—Challenges and Approaches.
In: Network (vol. 3) , pg. 585-624
(2023)
Automated and Systematic Digital Twins Testing for Industrial Processes.
IEEE pg. 149-158
DOI: 10.1109/ICSTW58534.2023.00037
(2023)
PV Power Production and Consumption Estimation with Uncertainty bounds in Smart Energy Grids.
IEEE pg. 1-6
DOI: 10.1109/EEEIC/ICPSEurope57605.2023.10194894
(2023)
DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks.
In: Engineering Applications of Artificial Intelligence (vol. 123, Part C) , pg. 106480
(2023)
DOI: 10.1016/j.engappai.2023.106480
Accelerating Transport Layer Multipath Packet Scheduling for 5G-ATSSS.
(2023)
AIDA—A holistic AI-driven networking and processing framework for industrial IoT applications.
In: Internet of Things (vol. 22) , pg. 100805
(2023)
DOI: 10.1016/j.iot.2023.100805
Explorative Journey on 5G and beyond – Dos and Don't’s. Interactive Session.
Würzburg 28.-30.06.2023.
(2023)
Accelerating Transport Layer Multipath Packet Scheduling for 5G-ATSSS.
Würzburg 28.-30.06.2023.
(2023)
Utilizing Hybrid P4 Solutions to Enhance 5G gNB with Data Plane Programmability.
(2024)
Quality of Service Performance of Multi-Core Broadband Network Gateways.
IEEE pg. 1-10
DOI: 10.23919/TMA62044.2024.10559123
(2024)
P4-MTAGG - a Framework for Multi-Tenant P4 Network Devices.
IEEE pg. 1-3
DOI: 10.23919/CNSM62983.2024.10814635
(2024)
Optimizing TSN Routing, Scheduling, and Task Placement in Virtualized Edge-Compute Platforms.
IEEE pg. 153-157
DOI: 10.1109/ICIN60470.2024.10494455
(2024)
Uncertainty-Aware Forecasting of Computational Load in MECs Using Distributed Machine Learning: A Tokyo Case Study.
IEEE pg. 1-6
DOI: 10.1109/ICCCN61486.2024.10637613
(2024)
Towards Explainable Renewable Energy Communities Operations Using Generative AI.
pg. 110
DOI: 10.1109/ISGTEUROPE62998.2024.10863790
(2024)
Linux-Based End-Station Design for Seamless TSN Plug -and - Play.
IEEE pg. 1-6
DOI: 10.1109/IC_ASET61847.2024.10596212
(2024)
P4-MTAGG - a Framework for Multi-Tenant P4 Network Devices.
(2024)
Performance Impact of Nested Congestion Control on Transport-Layer Multipath Tunneling.
In: Future Internet (vol. 16) , pg. 233
(2024)
DOI: 10.3390/fi16070233
Graph Attention Networks and Deep Q-Learning for Service Mesh Optimization: A Digital Twinning Approach.
IEEE pg. 2913-2918
DOI: 10.1109/ICC51166.2024.10622616
(2024)
Low-delay cost-aware multipath scheduling over dynamic links for access traffic steering, switching, and splitting.
In: Computer Networks (vol. 241) , pg. 110186
(2024)
DOI: 10.1016/j.comnet.2024.110186
Utilizing Hybrid P4 Solutions to Enhance 5G gNB with Data Plane Programmability.
(2024)
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for 5G Traffic Forecasting.
In: Online-Publikationssystem der Universität Tübingen
(2025)
DOI: 10.15496/publikation-105099
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting. 16th International Conference on Network of the Future (NoF 2025). arXiv preprint.
(2025)
TSN Scheduling Robust to Wireless Performance Uncertainties: A Problem and Model Definition.
Würzburg: Universität Würzburg
(2025)
HiSTM: Hierarchical Spatiotemporal Mamba for Cellular Traffic Forecasting. 3rd International Workshop on Machine Learning in Networking (MaLeNe 2025). arXiv preprint.
(2025)
Spitzenprofessur der HighTech Agenda
Intelligent Networks and Systems (Head)
Andreas J. Kassler is Professor of Computer Science at Deggendorf Institute of Technology, Germany (since 2023) and Karlstads Universitet, Karlstad, Sweden (since 2005). From 2003 to 2004, Dr. Andreas J. Kassler was Assistant Professor at the School of Computer Engineering, Nanyang Technological University, Singapore. At Degegndorf, he is leading the Intelligent Network and Systems Lab. He maintains an active research program in the fields of networking and cloud computing with main research focus on Software Defined Networking, Future Internet, Datacenter Networking and, Quality of Service.
Dr. Andreas J. Kassler received the Docent title (Habilitation) in Computer Science from Karlstads Universitet in 2007 and the Ph.D. degree in Computer Science from Universität Ulm, Germany, in 2002. He received the M. Sc. degree in Mathematics/Computer Science in 1995 from Universität Augsburg, Germany.
He is co-author of around 55 peer reviewed journal articles and book chapters, 195 peer reviewed conference and workshop publications, 7 European or international patents and 11 IETF and ISO standardization contributions. He is also co-editor of a book published in the LNCS book series of Springer. He is the area editor of the Elsevier Computer Networks Journal, served as a guest editor of a feature topic in EURASIP Wireless Communications and Networking Journal, and served as Associate Editor on the editorial boards of some refereed international journals, such as: Journal of Internet Engineering, International Journal On Advances in Networks and Services.