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8 Publications
2025 | Conference Paper | LibreCat-ID: 61256
M. Illian, B. Luchterhandt, and L. Wang, “Band Switching for Mobile Energy Optimization in 5G Networks and Beyond,” presented at the ACM Workshop on Mobility in the Evolving Internet Architecture (MobiArch), co-located with ACM MobiCom, Hong Kong, China, 2025, doi: 10.1145/3737897.3767294.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 56671
M. Illian, C. Zinda, and D. Schlangenotto, “Data Store Architectures: Balancing Functionality and Performance,” 2024, doi: 10.1109/icit58233.2024.10540811.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 51262
A. Neumann, M. Illian, T. Hardes, L. Martenvormfelde, L. Wisniewski, and J. Jasperneite, “An Architecture Concept for Short- and Long-term Resource Planning in the Industry 4.0 Environment,” presented at the IEEE International Workshop on Factory Communication Systems, Virtual, 2022, doi: 10.1109/WFCS53837.2022.9779161.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 16726
H. Razzaghi Kouchaksaraei, A. P. Shivarpatna Venkatesh, A. Churi, M. Illian, and H. Karl, “Dynamic Provisioning of Network Services on Heterogeneous Resources,” in European Conference on Networks and Communications (EUCNC 2020).
LibreCat
2020 | Conference Paper | LibreCat-ID: 30859
A. Ghosh Chowdhury, M. Illian, L. Wisniewski, and J. Jasperneite, “An Approach for Data Pipeline with Distributed Query Engine for Industrial Applications,” 2020, doi: 10.1109/etfa46521.2020.9212050.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 24185
J. Koepe et al., “First Performance Insights on Our Noval OFDM-based Vehicular VLC Prototype,” 2018, doi: 10.1109/VNC.2018.8628322.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 30858
S. Dräxler, M. Peuster, M. Illian, and H. Karl, “Generating Resource and Performance Models for Service Function Chains: The Video Streaming Case,” 2018, doi: 10.1109/netsoft.2018.8460029.
LibreCat
| DOI
2018 | Conference (Editor) | LibreCat-ID: 61268 | 
S. Dräxler, M. Peuster, M. Illian, and H. Karl, Eds., Towards Predicting Resource Demands and Performance of Distributed Cloud Services. 2018.
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