基本信息
浏览量:192
职业迁徙
个人简介
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.
研究兴趣
论文共 386 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
International Conference on Quality of Multimedia Experiencepp.104-110, (2024)
International Conference on Quality of Multimedia Experiencepp.72-75, (2024)
Network Traffic Measurement and Analysis Conferencepp.1-10, (2024)
PROCEEDINGS OF THE 8TH NETWORK TRAFFIC MEASUREMENT AND ANALYSIS CONFERENCE, TMA 2024pp.1-4, (2024)
IEEE Internet Things J.no. 11 (2024): 19678-19693
IEEE Transactions on Network and Service Managementno. 99 (2024): 1-1
Conference on Innovation in Clouds, Internet and Networkspp.9-16, (2024)
2024 IFIP Networking Conference (IFIP Networking)pp.613-619, (2024)
Katharina Dietz ,Michael Mühlhauser, Jochen Kögel, Stephan Schwinger, Marleen Sichermann,Michael Seufert,Dominik Herrmann,Tobias Hoßfeld
IEEE Accessno. 99 (2024): 79815-79837
加载更多
作者统计
#Papers: 385
#Citation: 7928
H-Index: 37
G-Index: 80
Sociability: 7
Diversity: 3
Activity: 95
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn