@inproceedings{25286,
  abstract     = {{The as a Service paradigm reflects the fundamental idea of providing basic coherent functionality in terms of components that can be utilized on demand. These so-called services may also be interconnected in order to provide more complex functionality. Automation of this service composition process is indeed a formidable challenge. In our work, we are addressing this challenge by decomposing service composition into sequential decision making steps. Each step is supported by a recommendation mechanism. If composition requests recur over time and if evaluations of composition results are fed back, a proper recommendation strategy can evolve over time through learning from experience. In this paper, we describe our general idea of modeling this service composition and recommendation process as Markov Decision Process and of solving it by means of Reinforcement Learning. A case study serves as proof of concept.}},
  author       = {{Jungmann, Alexander and Kleinjohann, Bernd}},
  booktitle    = {{Proceedings of the 10th IEEE International Conference on Services Computing (SCC)}},
  location     = {{27. Jun. - 2. Jul. 2013 IEEE Computer Society, }},
  pages        = {{97--104}},
  publisher    = {{ IEEE Computer Society}},
  title        = {{{Learning Recommendation System for Automated Service Composition}}},
  year         = {{2013}},
}

@inproceedings{25287,
  author       = {{Gilles, Katharina and Grösbrink, Stefan and Baldin, Daniel and Kerstan, Timo}},
  booktitle    = {{International Embedded Systems Symposium, 17. - 19. Jun. 2013}},
  title        = {{{Proteus Hypervisor: Full Virtualization and Paravirtualization for Multi-Core Embedded Systems}}},
  year         = {{2013}},
}

@inproceedings{25289,
  author       = {{Grösbrink, Stefan}},
  booktitle    = {{ International Embedded Systems Symposium, 17. - 19. Jun. 2013}},
  title        = {{{On the Homogeneous Multiprocessor Virtual Machine Partitioning Problem}}},
  year         = {{2013}},
}

@inproceedings{25290,
  author       = {{Rammig, Franz-Josef and Khaluf, Lial and Montealegre, Norma and Stahl, Katharina and Zhao, Yuhong}},
  booktitle    = {{Proc. 9th Workshop on Software Technologies for Future Embedded and Ubiquitous Systems (SEUS) 2013}},
  publisher    = {{IEEE}},
  title        = {{{Organic Real-time Programming – Vision and Approaches towards Self-Evolving and Adaptive Real-time Software}}},
  year         = {{2013}},
}

@inproceedings{25291,
  author       = {{Becker, Markus and Kiffmeier, Ulrich and Müller, Wolfgang}},
  booktitle    = {{16th IEEE Computer Society Symposium on Object/Component/Service-oriented Real-time Distributed Computing}},
  title        = {{{HeroeS: Virtual Platform Driven Integration of Heterogeneous Software Components for Multi-Core Real-Time Architectures}}},
  year         = {{2013}},
}

@inproceedings{25292,
  author       = {{Rammig, Franz-Josef and Stahl, Katharina and Vaz, Gavin Francis}},
  booktitle    = {{Proc. 4th IEEE Workshop on Self-Organizing Real-Time Systems (SORT) 2013}},
  publisher    = {{IEEE}},
  title        = {{{A Framework for Enhancing Dependability in Self-x Systems by Artificial Immune Systems}}},
  year         = {{2013}},
}

@inproceedings{25296,
  author       = {{Rasche, Christoph and Ziegert, Steffen}},
  booktitle    = {{Proceedings of The Fifth International Conference on Adaptive and Self-Adaptive Systems and Applications}},
  pages        = {{6}},
  publisher    = {{ThinkMind}},
  title        = {{{Multilevel Planning for Self-Optimizing Mechatronic Systems}}},
  year         = {{2013}},
}

@inproceedings{25298,
  author       = {{Stahl, Katharina}},
  booktitle    = {{Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC'13)}},
  pages        = {{24--26}},
  publisher    = {{Reports / Technische Berichte - Herausgeber: Fakultät für Angewandte Informatik der Universität Augsburg}},
  title        = {{{AIS-based Anomaly Detection for Self-X Systems}}},
  year         = {{2013}},
}

@inproceedings{25299,
  author       = {{Grösbrink, Stefan and Rammig, Franz-Josef}},
  booktitle    = {{3rd SBC Workshop on Autonomic Distributed Systems - WoSiDA 2013}},
  publisher    = {{SBC}},
  title        = {{{Safe Self-Evolving Embedded Software via System Virtualization}}},
  year         = {{2013}},
}

@inproceedings{25548,
  author       = {{Grösbrink, Stefan and Almeida, Luis and de Sousa, Mario and Petters, Stefan M.}},
  booktitle    = {{5th Workshop on Adaptive and Reconfigurable Embedded Systems (CPSWeek 2013)}},
  title        = {{{Fair Bandwidth Sharing among Virtual Machines in a Multi-criticality Scope}}},
  year         = {{2013}},
}

@inproceedings{25557,
  author       = {{Qanadilo, Mona and Samara, Sufyan and Zhao, Yuhong}},
  booktitle    = {{6'th Latin-American Symposium on Dependable Computing (LADC 2013)}},
  title        = {{{Accelerating Online Model Checking}}},
  year         = {{2013}},
}

@inproceedings{25573,
  author       = {{Stern, Claudius and Rasche, Christoph and Kleinjohann, Lisa and Kleinjohann, Bernd}},
  booktitle    = {{11. Paderborner Workshop Augmented & Virtual Reality in der Produktentstehung}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, Nr. 311}},
  title        = {{{Bildangereicherte Kartenerstellung zur Unterstützung bei Rettungseinsätzen}}},
  volume       = {{311}},
  year         = {{2013}},
}

@inproceedings{25574,
  author       = {{Rasche, Christoph and Bieshaar, Maarten and Jungmann, Alexander and Kleinjohann, Lisa and Kleinjohann, Bernd}},
  booktitle    = {{Entwurf mechatronischer Systeme, Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, Band 310}},
  pages        = {{133--146}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}},
  title        = {{{Statistisches Planen in einem realen Roboterszenario}}},
  volume       = {{310}},
  year         = {{2013}},
}

@inproceedings{25575,
  author       = {{Grösbrink, Stefan and Baldin, Daniel and Oberthür, Simon}},
  booktitle    = {{ACM SIGBED Review, Band 10}},
  publisher    = {{ACM}},
  title        = {{{Architecture for Adaptive Resource Assignment to Virtualized Mixed-Criticality Real-Time Systems}}},
  year         = {{2013}},
}

@inproceedings{25606,
  author       = {{Kuznik, Christoph and F. S. Oliveira, Marcio and Müller, Wolfgang}},
  booktitle    = {{edaWorkshop 13}},
  location     = {{Mrz. 2013 - Poster}},
  title        = {{{SystemC Verification Components - An enhanced OVM/UVM for SystemC}}},
  year         = {{2013}},
}

@inproceedings{25612,
  author       = {{Mischkalla, Fabian and Müller, Wolfgang}},
  booktitle    = {{Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV)}},
  title        = {{{Funktionale Verifikation von Low-Power Designs unter Verwendung Virtueller Prototypen}}},
  year         = {{2013}},
}

@inproceedings{25614,
  author       = {{Kuznik, Christoph and F. S. Oliveira, Marcio and Müller, Wolfgang}},
  booktitle    = {{Open SANITAS SystemC Verification Workshop}},
  title        = {{{SC OVM: An Advanced SystemC Library for OVM-based Verification}}},
  year         = {{2013}},
}

@misc{25615,
  author       = {{Engels, Gregor and Gerth, Christian and Kleinjohann, Lisa and Kleinjohann, Bernd and Müller, Wolfgang}},
  booktitle    = {{ForschungsForum Paderborn }},
  title        = {{{ Informationstechnik spart Ressourcen}}},
  year         = {{2013}},
}

@article{25616,
  author       = {{Grösbrink, Stefan}},
  journal      = {{Production Engineering Research & Development 7(1)}},
  pages        = {{69--79}},
  title        = {{{Basics of Virtual Machine Migration on Heterogeneous Architectures for Self-optimizing Mechatronic Systems - Necessary Conditions and Implementation Issues}}},
  year         = {{2013}},
}

@article{25618,
  abstract     = {{The as a service paradigm reflects the fundamental idea of providing basic coherent functionality in terms of components that can be utilised on demand. These so-called services may also be interconnected in order to provide more complex functionality. Automation of this service composition process is indeed a formidable challenge. In our work, we are addressing this challenge by decomposing service composition into sequential decision making steps. Each step is supported by a recommendation mechanism. If composition requests recur over time and if evaluations of composition results are fed back, a proper recommendation strategy can evolve over time through learning from experience. In this paper, we describe our approach of modelling this service composition and recommendation process as Markov decision process and of solving it by means of reinforcement learning. A case study serves as proof of concept.}},
  author       = {{Jungmann, Alexander and Kleinjohann, Bernd and Kleinjohann, Lisa}},
  journal      = {{International Journal of Business Process Integration and Management 6(4)}},
  pages        = {{284--297}},
  title        = {{{Learning Service Recommendations}}},
  year         = {{2013}},
}