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Patrick Krämer
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Adaptable and data-driven softwarized networks: Review, opportunities, and challenges
W Kellerer, P Kalmbach, A Blenk, A Basta, M Reisslein, S Schmid
Proceedings of the IEEE 107 (4), 711-731, 2019
832019
Boost online virtual network embedding: Using neural networks for admission control
A Blenk, P Kalmbach, P Van Der Smagt, W Kellerer
2016 12th International Conference on Network and Service Management (CNSM …, 2016
432016
Empowering self-driving networks
P Kalmbach, J Zerwas, P Babarczi, A Blenk, W Kellerer, S Schmid
Proceedings of the afternoon workshop on self-driving networks, 8-14, 2018
422018
O'zapft is: Tap your network algorithm's big data!
A Blenk, P Kalmbach, W Kellerer, S Schmid
Proceedings of the Workshop on Big Data Analytics and Machine Learning for …, 2017
372017
NeuroViNE: A neural preprocessor for your virtual network embedding algorithm
A Blenk, P Kalmbach, J Zerwas, M Jarschel, S Schmid, W Kellerer
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 405-413, 2018
352018
Algorithm-data driven optimization of adaptive communication networks
M He, P Kalmbach, A Blenk, W Kellerer, S Schmid
2017 IEEE 25th International Conference on Network Protocols (ICNP), 1-6, 2017
272017
Ahab: Data-driven virtual cluster hunting
J Zerwas, P Kalmbach, C Fuerst, A Ludwig, A Blenk, W Kellerer, S Schmid
2018 IFIP Networking Conference (IFIP Networking) and Workshops, 1-9, 2018
112018
Netboa: Self-driving network benchmarking
J Zerwas, P Kalmbach, L Henkel, G Rétvári, W Kellerer, A Blenk, ...
Proceedings of the 2019 Workshop on Network Meets AI & ML, 8-14, 2019
102019
Themis: A data-driven approach to bot detection
P Kalmbach, A Blenk, W Kellerer, S Schmid
IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018
92018
Generating synthetic internet-and ip-topologies using the stochastic-block-model
P Kalmbach, A Blenk, M Kluegel, W Kellerer
2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2017
62017
Gpu accelerated planning and placement of edge clouds
P Kalmbach, A Blenk, W Kellerer, R Pries, M Jarschel, M Hoffmann
2019 International Conference on Networked Systems (NetSys), 1-3, 2019
52019
Ismael: Using machine learning to predict acceptance of virtual clusters in data centers
J Zerwas, P Kalmbach, S Schmid, A Blenk
IEEE Transactions on Network and Service Management 16 (3), 950-964, 2019
42019
sfc2cpu: Operating a service function chain platform with neural combinatorial optimization
P Krämer, P Diederich, C Krämer, R Pries, W Kellerer, A Blenk
2021 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2021
32021
A mathematical framework for measuring network flexibility
P Babarczi, M Klügel, AM Alba, M He, J Zerwas, P Kalmbach, A Blenk, ...
Computer Communications 164, 13-24, 2020
32020
Modeling the cost of flexibility in communication networks
AM Alba, P Babarczi, A Blenk, M He, P Kalmbach, J Zerwas, W Kellerer
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
22021
Modeling IP-to-IP Communication using the Weighted Stochastic Block Model
P Kalmbach, L Gleiter, J Zerwas, A Blenk, W Kellerer, S Schmid
Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 48-50, 2018
22018
Navigating Communication Networks with Deep Reinforcement Learning
P Krämer, A Blenk
Electronic Communications of the EASST 80, 2021
12021
Modeling the Cost of Flexibility in Communication Networks
A Martínez Alba, P Babarczi, A Blenk, M He, P Krämer, J Zerwas, ...
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 2021
12021
NOracle: Who is communicating with whom in my network?
P Kalmbach, D Hock, F Lipp, W Kellerer, A Blenk
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 48-50, 2019
12019
D2A: Operating a Service Function Chain Platform with Data-Driven Scheduling Policies
P Krämer, P Diederich, C Krämer, R Pries, W Kellerer, A Blenk
IEEE Transactions on Network and Service Management, 2022
2022
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