@phdthesis{45781,
  author       = {{Pukrop, Simon}},
  title        = {{{On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling}}},
  doi          = {{10.17619/UNIPB/1-1768 }},
  year         = {{2023}},
}

@misc{46053,
  author       = {{Schneider, Fabian}},
  title        = {{{Utilizing Redundancy in Distributed Heterogeneous Storage}}},
  year         = {{2023}},
}

@article{38041,
  abstract     = {{<jats:p>While FPGA accelerator boards and their respective high-level design tools are maturing, there is still a lack of multi-FPGA applications, libraries, and not least, benchmarks and reference implementations towards sustained HPC usage of these devices. As in the early days of GPUs in HPC, for workloads that can reasonably be decoupled into loosely coupled working sets, multi-accelerator support can be achieved by using standard communication interfaces like MPI on the host side. However, for performance and productivity, some applications can profit from a tighter coupling of the accelerators. FPGAs offer unique opportunities here when extending the dataflow characteristics to their communication interfaces.</jats:p>
          <jats:p>In this work, we extend the HPCC FPGA benchmark suite by multi-FPGA support and three missing benchmarks that particularly characterize or stress inter-device communication: b_eff, PTRANS, and LINPACK. With all benchmarks implemented for current boards with Intel and Xilinx FPGAs, we established a baseline for multi-FPGA performance. Additionally, for the communication-centric benchmarks, we explored the potential of direct FPGA-to-FPGA communication with a circuit-switched inter-FPGA network that is currently only available for one of the boards. The evaluation with parallel execution on up to 26 FPGA boards makes use of one of the largest academic FPGA installations.</jats:p>}},
  author       = {{Meyer, Marius and Kenter, Tobias and Plessl, Christian}},
  issn         = {{1936-7406}},
  journal      = {{ACM Transactions on Reconfigurable Technology and Systems}},
  keywords     = {{General Computer Science}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks}}},
  doi          = {{10.1145/3576200}},
  year         = {{2023}},
}

@inproceedings{35014,
  author       = {{Blömer, Johannes and Bobolz, Jan and Bröcher, Henrik}},
  location     = {{Taipeh, Taiwan}},
  title        = {{{On the impossibility of surviving (iterated) deletion of weakly dominated strategies in rational MPC}}},
  year         = {{2023}},
}

@inproceedings{43458,
  author       = {{Blömer, Johannes and Bobolz, Jan and Porzenheim, Laurens Alexander}},
  location     = {{Guangzhou, China}},
  title        = {{{A Generic Construction of an Anonymous Reputation System and Instantiations from Lattices}}},
  year         = {{2023}},
}

@inproceedings{24579,
  author       = {{Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Dear Guests, please pay for my license – Analyzing the heterogenous cost-pass-through of commercial and non-commercial rental suppliers in response to regulatory policies}}},
  year         = {{2022}},
}

@inproceedings{27280,
  author       = {{Schoormann, T. and Möller, F. and Szopinski, Daniel}},
  booktitle    = {{Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}},
  location     = {{Nürnberg, Germany}},
  title        = {{{Exploring purposes of using taxonomies}}},
  year         = {{2022}},
}

@inproceedings{29839,
  abstract     = {{The development of business models is a challenging task that can be supported with software tools. Here, existing approaches and tools do not focus on the company’s situation in which the development takes place (e.g., financial resources, product type). To tackle this challenge, we used design science research to develop a situation-specific business model development approach that contains three stages: First, existing knowledge in terms of tasks to do (e.g., analyze competitive advantage), and decisions to be made (e.g., social media marketing) are stored in repositories. Second, the knowledge is used to compose a development method based on the company’s situation. Third, the development method is enacted to develop a business model. This demonstration paper presents a tool-support called Situational Business Model Developer that supports all stages of our approach. We release the tool under open-source and evaluate it with a case study on developing business models for mobile apps.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}},
  booktitle    = {{Proceedings of the 17th International Conference on Wirtschaftsinformatik}},
  keywords     = {{Business Model Development, Situational Method Engineering, Tool Support}},
  location     = {{Nuremberg}},
  publisher    = {{AIS}},
  title        = {{{Situational Business Model Developer: A Tool-support for Situation-specific Business Model Development}}},
  year         = {{2022}},
}

@phdthesis{29672,
  author       = {{Schneider, Stefan Balthasar}},
  title        = {{{Network and Service Coordination: Conventional and Machine Learning Approaches"}}},
  doi          = {{10.17619/UNIPB/1-1276 }},
  year         = {{2022}},
}

@misc{30198,
  author       = {{Korzeczek, Sebastian}},
  title        = {{{Aufarbeitung und lmplementierung von DAG-Rider}}},
  year         = {{2022}},
}

@inproceedings{30236,
  abstract     = {{Recent reinforcement learning approaches for continuous control in wireless mobile networks have shown impressive
results. But due to the lack of open and compatible simulators, authors typically create their own simulation environments for training and evaluation. This is cumbersome and time-consuming for authors and limits reproducibility and comparability, ultimately impeding progress in the field.

To this end, we propose mobile-env, a simple and open platform for training, evaluating, and comparing reinforcement learning and conventional approaches for continuous control in mobile wireless networks. mobile-env is lightweight and implements the common OpenAI Gym interface and additional wrappers, which allows connecting virtually any single-agent or multi-agent reinforcement learning framework to the environment. While mobile-env provides sensible default values and can be used out of the box, it also has many configuration options and is easy to extend. We therefore believe mobile-env to be a valuable platform for driving meaningful progress in autonomous coordination of
wireless mobile networks.}},
  author       = {{Schneider, Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl, Holger}},
  booktitle    = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}},
  keywords     = {{wireless mobile networks, network management, continuous control, cognitive networks, autonomous coordination, reinforcement learning, gym environment, simulation, open source}},
  location     = {{Budapest}},
  publisher    = {{IEEE}},
  title        = {{{mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks}}},
  year         = {{2022}},
}

@inproceedings{30971,
  author       = {{Hansmeier, Tim and Platzner, Marco}},
  booktitle    = {{Applications of Evolutionary Computation, EvoApplications 2022, Proceedings}},
  isbn         = {{9783031024610}},
  issn         = {{0302-9743}},
  location     = {{Madrid}},
  pages        = {{386--401}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Integrating Safety Guarantees into the Learning Classifier System XCS}}},
  doi          = {{10.1007/978-3-031-02462-7_25}},
  volume       = {{13224}},
  year         = {{2022}},
}

@article{17869,
  author       = {{Poniatowski, Martin and Lüttenberg, Hedda and Beverungen, Daniel and Kundisch, Dennis}},
  journal      = {{Information Systems and e-Business Management, Special Issue on Platform Business Models and Platform Strategies}},
  pages        = {{257 -- 283}},
  title        = {{{Three Layers of Abstraction—A Conceptual Framework for Theorizing digital Multi-Sided Platforms}}},
  volume       = {{2}},
  year         = {{2022}},
}

@inproceedings{29842,
  abstract     = {{To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}},
  booktitle    = {{Proceedings of the 18th International Conference on Software Architecture Companion }},
  keywords     = {{continuous experimentation, model-driven, component-based software architectures, self-adaptation}},
  location     = {{Hawaii}},
  publisher    = {{IEEE}},
  title        = {{{Model-driven Continuous Experimentation on Component-based Software Architectures }}},
  doi          = {{10.1109/ICSA-C54293.2022.00011}},
  year         = {{2022}},
}

@misc{32399,
  author       = {{Vahle, Ella}},
  title        = {{{Modelling and Proving Security for a Secure MPC Protocol for Stable Matching}}},
  year         = {{2022}},
}

@inproceedings{33085,
  author       = {{Epstein, Leah and Lassota, Alexandra and Levin, Asaf and Maack, Marten and Rohwedder, Lars}},
  booktitle    = {{39th International Symposium on Theoretical Aspects of Computer Science, STACS 2022, March 15-18, 2022, Marseille, France (Virtual Conference)}},
  editor       = {{Berenbrink, Petra and Monmege, Benjamin}},
  pages        = {{28:1–28:15}},
  publisher    = {{Schloss Dagstuhl - Leibniz-Zentrum für Informatik}},
  title        = {{{Cardinality Constrained Scheduling in Online Models}}},
  doi          = {{10.4230/LIPIcs.STACS.2022.28}},
  volume       = {{219}},
  year         = {{2022}},
}

@article{33251,
  author       = {{Robra-Bissantz, Susanne and Lattemann, Christoph and Laue, Ralf and Leonhard-Pfleger, Raphaela and Wagner, Luisa and Gerundt, Oliver and Schlimbach, Ricarda and Baumann, Sabine and Vorbohle, Christian and Gottschalk, Sebastian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nancy and Nissen, Volker and Lohrenz, Lisa and Michalke, Simon}},
  journal      = {{HMD Praxis der Wirtschaftsinformatik}},
  number       = {{5}},
  pages        = {{1227 -- 1257}},
  title        = {{{Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme}}},
  volume       = {{59}},
  year         = {{2022}},
}

@inproceedings{32602,
  author       = {{Padalkin, Andreas and Scheideler, Christian and Warner, Daniel}},
  booktitle    = {{28th International Conference on DNA Computing and Molecular Programming (DNA 28)}},
  editor       = {{Ouldridge, Thomas E. and Wickham, Shelley F. J.}},
  isbn         = {{978-3-95977-253-2}},
  issn         = {{1868-8969}},
  pages        = {{8:1–8:22}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{The Structural Power of Reconfigurable Circuits in the Amoebot Model}}},
  doi          = {{10.4230/LIPIcs.DNA.28.8}},
  volume       = {{238}},
  year         = {{2022}},
}

@inproceedings{32603,
  author       = {{Kostitsyna, Irina and Scheideler, Christian and Warner, Daniel}},
  booktitle    = {{28th International Conference on DNA Computing and Molecular Programming (DNA 28)}},
  editor       = {{Ouldridge, Thomas E. and Wickham, Shelley F. J.}},
  isbn         = {{978-3-95977-253-2}},
  issn         = {{1868-8969}},
  pages        = {{9:1–9:22}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{Fault-Tolerant Shape Formation in the Amoebot Model}}},
  doi          = {{10.4230/LIPIcs.DNA.28.9}},
  volume       = {{238}},
  year         = {{2022}},
}

@inproceedings{30939,
  author       = {{Vorbohle, Christian and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 30th European Conference on Information Systems (ECIS)}},
  location     = {{Timișoara, Romania}},
  title        = {{{Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems}}},
  year         = {{2022}},
}