| OpenC2X—An open source experimental and prototyping platform supporting ETSI ITS-G5 S Laux, GS Pannu, S Schneider, J Tiemann, F Klingler, C Sommer, ... 2016 IEEE Vehicular Networking Conference (VNC), 1-2, 2016 | 74 | 2016 |
| Machine learning for dynamic resource allocation in network function virtualization S Schneider, NP Satheeschandran, M Peuster, H Karl 2020 6th IEEE conference on network softwarization (NetSoft), 122-130, 2020 | 42 | 2020 |
| Introducing automated verification and validation for virtualized network functions and services M Peuster, S Schneider, M Zhao, G Xilouris, P Trakadas, F Vicens, ... IEEE Communications Magazine 57 (5), 96-102, 2019 | 42 | 2019 |
| Self-learning multi-objective service coordination using deep reinforcement learning S Schneider, R Khalili, A Manzoor, H Qarawlus, R Schellenberg, H Karl, ... IEEE Transactions on Network and Service Management 18 (3), 3829-3842, 2021 | 39 | 2021 |
| Benchmarking and profiling 5G verticals' applications: an industrial IoT use case A Zafeiropoulos, E Fotopoulou, M Peuster, S Schneider, P Gouvas, ... 2020 6th IEEE conference on network softwarization (NetSoft), 310-318, 2020 | 36 | 2020 |
| 5GTANGO: An approach for testing NFV deployments P Twamley, M Müller, PB Bök, GK Xilouris, C Sakkas, MA Kourtis, ... 2018 European Conference on Networks and Communications (EuCNC), 1-218, 2018 | 35 | 2018 |
| Verification and validation framework for 5G network services and apps M Zhao, F Le Gall, P Cousin, R Vilalta, R Muñoz, S Castro, M Peuster, ... 2017 IEEE conference on network function virtualization and software defined …, 2017 | 28 | 2017 |
| The softwarised network data zoo M Peuster, S Schneider, H Karl 2019 15th International Conference on Network and Service Management (CNSM), 1-5, 2019 | 26 | 2019 |
| mobile-env: An open platform for reinforcement learning in wireless mobile networks S Schneider, S Werner, R Khalili, A Hecker, H Karl NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-3, 2022 | 25 | 2022 |
| 5G as key technology for networked factories: Application of vertical-specific network services for enabling flexible smart manufacturing M Müller, D Behnke, PB Bok, M Peuster, S Schneider, H Karl 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 23 | 2019 |
| Distributed online service coordination using deep reinforcement learning S Schneider, H Qarawlus, H Karl 2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021 | 22 | 2021 |
| Scaling and placing bidirectional services with stateful virtual and physical network functions S Dräxler, S Schneider, H Karl 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft …, 2018 | 22 | 2018 |
| Self-driving network and service coordination using deep reinforcement learning S Schneider, A Manzoor, H Qarawlus, R Schellenberg, H Karl, R Khalili, ... International Conference on Network and Service Management (CNSM), 𝗕𝗲𝘀𝘁 …, 2020 | 21 | 2020 |
| Prototyping and demonstrating 5G verticals: the smart manufacturing case M Peuster, S Schneider, D Behnke, M Müller, PB Bök, H Karl 2019 IEEE conference on network softwarization (NetSoft), 236-238, 2019 | 21 | 2019 |
| Putting 5G into production: Realizing a smart manufacturing vertical scenario S Schneider, M Peuster, D Behnke, M Müller, PB Bök, H Karl 2019 European Conference on Networks and Communications (EuCNC), 305-309, 2019 | 17 | 2019 |
| Specifying and analyzing virtual network services using queuing petri nets S Schneider, A Sharma, H Karl, H Wehrheim 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019 | 13 | 2019 |
| Every node for itself: Fully distributed service coordination S Schneider, LD Klenner, H Karl 2020 16th International Conference on Network and Service Management (CNSM), 1-9, 2020 | 11 | 2020 |
| “Producing Cloud-Native”: Smart Manufacturing Use Cases on Kubernetes S Schneider, M Peuster, K Hannemann, D Behnke, M Muller, PB Bök, ... 2019 IEEE Conference on Network Function Virtualization and Software Defined …, 2019 | 11 | 2019 |
| Trade-offs in dynamic resource allocation in network function virtualization S Schneider, S Dräxler, H Karl 2018 IEEE Globecom Workshops (GC Wkshps), 1-3, 2018 | 11 | 2018 |
| Multi-agent deep reinforcement learning for coordinated multipoint in mobile networks S Schneider, H Karl, R Khalili, A Hecker IEEE Transactions on Network and Service Management 21 (1), 908-924, 2023 | 10* | 2023 |
Holger KarlHasso-Plattner-Institute, Potsdam UniversityE-mail megerősítve itt: hpi.de
Manuel PeusterBosch Connected IndustryE-mail megerősítve itt: peuster.de
Ramin KhaliliHuawei European Research Center in MunichE-mail megerősítve itt: huawei.com
Haydar QarawlusFraunhofer ISSTE-mail megerősítve itt: isst.fraunhofer.de
George XilourisNCSR DemokritosE-mail megerősítve itt: iit.demokritos.gr
Dimosthenis KyriazisUniversity of PiraeusE-mail megerősítve itt: unipi.gr
Ricard VilaltaResearch Director, CTTC-CERCAE-mail megerősítve itt: cttc.es
Wouter Tavernierassociate professor, Ghent University-imecE-mail megerősítve itt: ugent.be
Sevil DräxlerE-mail megerősítve itt: draexler.de
Gurjashan PannuTelecommunication Networks (TKN), TU Berlin, GermanyE-mail megerősítve itt: ccs-labs.org
Florian KlinglerProfessor (Jun.-Prof.), IoT Engineering Group, TU Ilmenau, GermanyE-mail megerősítve itt: tu-ilmenau.de
Falko DresslerTechnische Universität BerlinE-mail megerősítve itt: ccs-labs.org
Christoph SommerChair of Networked Systems Modeling, TU Dresden, GermanyE-mail megerősítve itt: tu-dresden.de
Raul MuñozCTTCE-mail megerősítve itt: cttc.es
Thomas SoenenGhent University - imecE-mail megerősítve itt: ugent.beEvgenia KapassaCyprus University of Technology, INNOV-ACTSE-mail megerősítve itt: cut.ac.cy
Heike WehrheimUniversity of OldenburgE-mail megerősítve itt: uni-oldenburg.de
