基本信息
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Bio
The research methodology of the Chair of Communication Networks is based on theoretical approaches and models as well as practical implementations and evaluations using real systems. The research topics can be summarized in the measurement, modeling, evaluation and improvement of Internet applications and technology in order to solve real-world problems. Typical web, cloud and smartphone applications for end users but also for enterprises are considered. On one hand, the focus is on the Internet and communication technology; on the other hand, the research focuses on the people who use these applications and for whom this technology is made available. Our research includes the evaluation and modelling of the Quality of Experience (QoE) subjectively experienced by the user. The QoE concept considers both the application and the network to ultimately improve the user experience and includes QoE modeling, QoE monitoring and QoE management, e.g., by mapping objectively measurable technical parameters to QoE. A further resarch topic lies on Smart City and IoT applications, which are designed for the improved life of people in cities by collecting and intelligently evaluating sensor information, for example from road traffic or defects in transformer stations. Among other things, 5G technology and complementary energy-efficient technologies such as LoRA are being researched to support these applications for 100 million sensors. A further goal is the investigation of communication with real-time requirements (time-sensitive networking, TSN), for example in industrial applications in manufacturing or in networked vehicles. For this purpose, the programmability of networks and network elements (software defined networking, SDN) is used and researched in addition to network virtualization or the outsourcing of services to the (edge-) cloud. The goal is to implement flexible, adaptive and programmable networks that allow intelligent autonomous network management, for example by using machine learning methods and big data approaches to handle the gigantic amounts of data in networks.
Research Interests
Papers共 414 篇Author StatisticsCo-AuthorSimilar Experts
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Frank Loh, Flavian Raithel, Simon Raffeck, Anika Seufert, Robert Frohler, Claus Heller,Tobias Hossfeld
IEEE Communications Magazineno. 99 (2025): 1-7
Martin Straesser,Stefan Geissler,Stanislav Lange, Lukas Kilian Schumann,Tobias Hossfeld,Samuel Kounev
PERFORMANCE EVALUATION (2025)
Viktoria Vomhoff, Hyunseok Daniel Jang,Matteo Varvello,Stefan Geißler,Yasir Zaki,Tobias Hoßfeld,Andra Lutu
arxiv(2024)
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PROCEEDINGS OF THE 8TH NETWORK TRAFFIC MEASUREMENT AND ANALYSIS CONFERENCE, TMA 2024 (2024)
2024 16TH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE, QOMEX 2024pp.235-241, (2024)
IEEE INTERNET OF THINGS JOURNALno. 11 (2024): 19678-19693
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENTno. 4 (2024): 4435-4449
PROCEEDINGS OF THE 27TH CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS, ICINpp.9-16, (2024)
2024 23RD IFIP NETWORKING CONFERENCE, IFIP NETWORKING 2024pp.613-619, (2024)
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Author Statistics
#Papers: 413
#Citation: 7858
H-Index: 39
G-Index: 79
Sociability: 7
Diversity: 3
Activity: 22
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