@inbook{37704,
  author       = {{Ksouri-Gerwien, Christoph and Vorbohle, Christian}},
  booktitle    = {{Digitale Plattformen und Ökosysteme im B2B-Bereich}},
  editor       = {{Schallmo, D.R.A. and Kundisch, Dennis and Lang, K.}},
  publisher    = {{Springer Gabler}},
  title        = {{{Anwendung von System Dynamics zur Geschäftsmodellinnovation in einem B2B-Ökosystem}}},
  year         = {{2024}},
}

@phdthesis{47837,
  author       = {{Hansmeier, Tim}},
  title        = {{{XCS for Self-awareness in Autonomous Computing Systems}}},
  year         = {{2023}},
}

@article{50458,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Consider a set of jobs connected to a directed acyclic task graph with a fixed source and sink. The edges of this graph model precedence constraints and the jobs have to be scheduled with respect to those. We introduce the server cloud scheduling problem, in which the jobs have to be processed either on a single local machine or on one of infinitely many cloud machines. For each job, processing times both on the server and in the cloud are given. Furthermore, for each edge in the task graph, a communication delay is included in the input and has to be taken into account if one of the two jobs is scheduled on the server and the other in the cloud. The server processes jobs sequentially, whereas the cloud can serve as many as needed in parallel, but induces costs. We consider both makespan and cost minimization. The main results are an FPTAS for the makespan objective for graphs with a constant source and sink dividing cut and strong hardness for the case with unit processing times and delays.</jats:p>}},
  author       = {{Maack, Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon}},
  issn         = {{0178-4617}},
  journal      = {{Algorithmica}},
  keywords     = {{Applied Mathematics, Computer Science Applications, General Computer Science}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Server Cloud Scheduling}}},
  doi          = {{10.1007/s00453-023-01189-x}},
  year         = {{2023}},
}

@inproceedings{50460,
  author       = {{Deppert, Max A. and Jansen, Klaus and Maack, Marten and Pukrop, Simon and Rau, Malin}},
  booktitle    = {{2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)}},
  publisher    = {{IEEE}},
  title        = {{{Scheduling with Many Shared Resources}}},
  doi          = {{10.1109/ipdps54959.2023.00049}},
  year         = {{2023}},
}

@misc{43110,
  author       = {{Seckin, Aliye Büsra}},
  title        = {{{Business-Ökosystem Intelligence - Ein systematischer Literaturüberblick}}},
  year         = {{2023}},
}

@misc{45400,
  author       = {{Schick, Andrej}},
  title        = {{{Ein konzeptioneller Vergleich zur Unterscheidung von digitalen Plattformen und Ökosystemen}}},
  year         = {{2023}},
}

@inbook{45893,
  author       = {{Hansmeier, Tim and Kenter, Tobias and Meyer, Marius and Riebler, Heinrich and Platzner, Marco and Plessl, Christian}},
  booktitle    = {{On-The-Fly Computing -- Individualized IT-services in dynamic markets}},
  editor       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{165--182}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Compute Centers I: Heterogeneous Execution Environments}}},
  doi          = {{10.5281/zenodo.8068642}},
  volume       = {{412}},
  year         = {{2023}},
}

@misc{42839,
  author       = {{Mehlich, Florian}},
  publisher    = {{Paderborn University}},
  title        = {{{An Evaluation of XCS on the OpenAI Gym}}},
  year         = {{2023}},
}

@book{45863,
  abstract     = {{In the proposal for our CRC in 2011, we formulated a vision of markets for
IT services that describes an approach to the provision of such services
that was novel at that time and, to a large extent, remains so today:
„Our vision of on-the-fly computing is that of IT services individually and
automatically configured and brought to execution from flexibly combinable
services traded on markets. At the same time, we aim at organizing
markets whose participants maintain a lively market of services through
appropriate entrepreneurial actions.“
Over the last 12 years, we have developed methods and techniques to
address problems critical to the convenient, efficient, and secure use of
on-the-fly computing. Among other things, we have made the description
of services more convenient by allowing natural language input,
increased the quality of configured services through (natural language)
interaction and more efficient configuration processes and analysis
procedures, made the quality of (the products of) providers in the
marketplace transparent through reputation systems, and increased the
resource efficiency of execution through reconfigurable heterogeneous
computing nodes and an integrated treatment of service description and
configuration. We have also developed network infrastructures that have
a high degree of adaptivity, scalability, efficiency, and reliability, and
provide cryptographic guarantees of anonymity and security for market
participants and their products and services.
To demonstrate the pervasiveness of the OTF computing approach, we
have implemented a proof-of-concept for OTF computing that can run
typical scenarios of an OTF market. We illustrated the approach using
a cutting-edge application scenario – automated machine learning (AutoML).
Finally, we have been pushing our work for the perpetuation of
On-The-Fly Computing beyond the SFB and sharing the expertise gained
in the SFB in events with industry partners as well as transfer projects.
This work required a broad spectrum of expertise. Computer scientists
and economists with research interests such as computer networks and
distributed algorithms, security and cryptography, software engineering
and verification, configuration and machine learning, computer engineering
and HPC, microeconomics and game theory, business informatics
and management have successfully collaborated here.}},
  author       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{247}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{On-The-Fly Computing -- Individualized IT-services in dynamic markets}}},
  doi          = {{10.17619/UNIPB/1-1797}},
  volume       = {{412}},
  year         = {{2023}},
}

@inproceedings{33488,
  author       = {{Ksouri-Gerwien, C. and Vorbohle, Christian}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Supporting Business Model Decision-making in B2B Ecosystems: A Framework for Using System Dynamics}}},
  year         = {{2023}},
}

@misc{40440,
  author       = {{Pilot, Matthias}},
  title        = {{{Updatable Privacy-Preserving Reputation System based on Blockchain}}},
  year         = {{2023}},
}

@article{44077,
  author       = {{Maack, Marten}},
  issn         = {{0167-6377}},
  journal      = {{Operations Research Letters}},
  keywords     = {{Applied Mathematics, Industrial and Manufacturing Engineering, Management Science and Operations Research, Software}},
  number       = {{3}},
  pages        = {{220--225}},
  publisher    = {{Elsevier BV}},
  title        = {{{Online load balancing on uniform machines with limited migration}}},
  doi          = {{10.1016/j.orl.2023.02.013}},
  volume       = {{51}},
  year         = {{2023}},
}

@misc{43374,
  author       = {{Schürmann, Patrick}},
  title        = {{{ A Formal Comparison of Advanced Digital Signature Primitives}}},
  year         = {{2023}},
}

@inproceedings{44855,
  abstract     = {{Market transactions are subject to information asymmetry about the delivered value proposition, causing transaction costs and adverse market effects among buyers and sellers. Information systems research has investigated how review systems can reduce information asymmetry in business-to-consumer markets. However, these systems cannot be readily applied to business-to-business markets, are vulnerable to manipulation, and suffer from conceptual weak spots since they use textual data or star ratings. Building on design science research, we conceptualize a new class of reputation systems based on monetary-based payments as quantitative ratings for each transaction stored on a blockchain. Using cryptography, we show that our system assures content confidentiality so that buyers can share and sell their ratings selectively, establishing a reputation ecosystem. Our prescriptive insights advance the design of reputation systems and offer new paths to understanding the antecedents, dynamics, and consequences to reduce information asymmetry in B2B transactions.}},
  author       = {{Hemmrich, Simon and Bobolz, Jan and Beverungen, Daniel and Blömer, Johannes}},
  booktitle    = {{ECIS 2023 Research Papers}},
  title        = {{{Designing Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings on a Blockchain}}},
  year         = {{2023}},
}

@article{45192,
  author       = {{Götte, Thorsten and Hinnenthal, Kristian and Scheideler, Christian and Werthmann, Julian}},
  journal      = {{Distributed Computing}},
  title        = {{{Time-Optimal Construction of Overlays}}},
  doi          = {{https://doi.org/10.1007/s00446-023-00442-4}},
  year         = {{2023}},
}

@misc{45243,
  author       = {{N., N.}},
  title        = {{{Development and Evaluation of a Model-Based UI Prototyping Experimentation Approach}}},
  year         = {{2023}},
}

@misc{43375,
  author       = {{Koch, Angelina}},
  title        = {{{Privacy-Preserving Collection and Evaluation of Log Files}}},
  year         = {{2023}},
}

@inbook{45895,
  author       = {{Karl, Holger and Maack, Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon and Redder, Adrian}},
  booktitle    = {{On-The-Fly Computing -- Individualized IT-services in dynamic markets}},
  editor       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{183--202}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers}}},
  doi          = {{10.5281/zenodo.8068664}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45897,
  author       = {{Gottschalk, Sebastian and Vorbohle, Christian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nacy V.}},
  booktitle    = {{On-The-Fly Computing -- Individualized IT-services in dynamic markets}},
  editor       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{203--224}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Architectural Management of OTF Computing Markets}}},
  doi          = {{10.5281/zenodo.8068691}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45891,
  author       = {{Blömer, Johannes and Eidens, Fabian and Jager, Tibor and Niehues, David and Scheideler, Christian}},
  booktitle    = {{On-The-Fly Computing -- Individualized IT-services in dynamic markets}},
  editor       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{145--164}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Robustness and Security}}},
  doi          = {{10.5281/zenodo.8068629}},
  volume       = {{412}},
  year         = {{2023}},
}