Pukrop, S. (2023). On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling.https://doi.org/10.17619/UNIPB/1-1768  
LibreCat: /record/45781
DOI: 10.17619/UNIPB/1-1768 

Schneider, S. B. (2022). Network and Service Coordination: Conventional and Machine Learning Approaches".https://doi.org/10.17619/UNIPB/1-1276  
LibreCat: /record/29672
DOI: 10.17619/UNIPB/1-1276 

Hasnain, A. (2021). Automating Network Resource Allocation for Coflows with Deadlines.https://doi.org/10.17619/UNIPB/1-1241  
LibreCat: /record/27503
DOI: 10.17619/UNIPB/1-1241 

Mäcker, A. (2019). On Scheduling with Setup Times. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-828 
LibreCat: /record/14851
DOI: 10.17619/UNIPB/1-828

Dräxler, S. (2019). Scaling, placement, and routing for pliable virtualized composed services. Universität Paderborn.
LibreCat: /record/13124

Pukrop, S. (2019). Scheduling Algorithms for Multi-Operation Jobs with Setups on a Single Machine. Universität Paderborn.
LibreCat: /record/10344

Schwabe, A. (2018). Data-Centre Traffic Optimisation using Software-Defined Networks. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-287 
LibreCat: /record/1208
DOI: 10.17619/UNIPB/1-287

Schürmann, A. (2017). Microservice-based Execution Environment for Service Compositions. Universität Paderborn.
LibreCat: /record/3291

Riechers, S. (2017). Scheduling with Scarce Resources. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-231 
LibreCat: /record/704
DOI: 10.17619/UNIPB/1-231

Keller, M. (2016). Application Deployment at Distributed Clouds. Universität Paderborn.
LibreCat: /record/220