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31 Publications
2021 | Working Paper | LibreCat-ID: 33854 | 
S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.
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2021 | Working Paper | LibreCat-ID: 35889 |
S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.
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2018 | Report | LibreCat-ID: 2483 |
S. Dräxler, M. Peuster, M. Illian, and H. Karl, Towards Predicting Resource Demands and Performance of Distributed Cloud Services. Wien, Darmstadt, 2018.
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2018 | Report | LibreCat-ID: 6485 |
R. V. Rosa, C. E. Rothenberg, M. Peuster, and H. Karl, Methodology for VNF Benchmarking Automation. IETF.
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2015 | Preprint | LibreCat-ID: 749 |
S. Dräxler and H. Karl, “Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model,” CoRR. 2015.
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2015 | Preprint | LibreCat-ID: 750
M. Dräxler and H. Karl, “Dynamic Backhaul Network Configuration in SDN-based Cloud RANs,” CoRR. 2015.
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2014 | Preprint | LibreCat-ID: 766
S. Mehraghdam, M. Keller, and H. Karl, “Specifying and Placing Chains of Virtual Network Functions,” CoRR. 2014.
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2014 | Preprint | LibreCat-ID: 767
P. Wette and H. Karl, “DCT2Gen: A Versatile TCP Traffic Generator for Data Centers,” CoRR. 2014.
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