@inproceedings{25112, abstract = {{Automatically composing service-based software solutions is a challenging task. Considering context information during this service composition process is even more challenging. In domains such as image processing, however, context-sensitivity is inherent and cannot be ignored when developing techniques for automatic service composition. Formal approaches tend to create ambiguous solutions, whenever the expressive power of the applied formalism is limited. For example, services may have the same formal specification, although their actual functionality depends on the concrete context. In order to satisfy individual user requests while providing data-dependent functionality, formal approaches have to be extended. We propose to incorporate Reinforcement Learning techniques and combine them with planning based composition approaches. While planning ensures formally correct solutions, learning enables the composition process to resolve ambiguity by implicitly considering context information. Preliminary results show that our combined approach adapts to a static context while still satisfying formally specified requirements.}}, author = {{Jungmann, Alexander and Kleinjohann, Bernd}}, booktitle = {{Proceedings of the 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom)}}, pages = {{755--758}}, publisher = {{IEEE}}, title = {{{Towards Context-Sensitive Service Composition for Service-Oriented Image Processing}}}, year = {{2014}}, } @article{25114, abstract = {{One goal of service-oriented computing is to realize future markets of composed services. In such markets, service providers offer services that can be flexibly combined with each other. However, although crucial for decision-making, market participants are usually not able to individually estimate the quality of traded services in advance. To overcome this problem, we present a conceptual design for a reputation system that collects and processes user feedback on transactions, and provides this information as a signal for quality to participants in the market. Based on our proposed concept, we describe the incorporation of reputation information into distinct decisionmaking processes that are crucial in such service markets. In this context, we present a fuzzy service matching approach that takes reputation information into account. Furthermore, we introduce an adaptive service composition approach, and investigate the impact of exchanging immediate user feedback by reputation information. Last but not least, we describe the importance of reputation information for economic decisions of different market participants. The overall output of this paper is a comprehensive view on managing and exploiting reputation information in markets of composed services using the example of On-The-Fly Computing.}}, author = {{Jungmann, Alexander and Brangewitz, Sonja and Petrlic, Ronald and Platenius, Marie Christin}}, journal = {{International Journal on Advances in Intelligent Systems 7(3&4)}}, pages = {{572--594}}, title = {{{Incorporating Reputation Information into Decision-Making Processes in Markets of Composed Services}}}, year = {{2014}}, } @inproceedings{25115, abstract = {{Automatically composing service-based software solutions is still a challenging task. Functional as well as nonfunctional properties have to be considered in order to satisfy individual user requests. Regarding non-functional properties, the composition process can be modeled as optimization problem and solved accordingly. Functional properties, in turn, can be described by means of a formal specification language. Statespace based planning approaches can then be applied to solve the underlying composition problem. However, depending on the expressiveness of the applied formalism and the completeness of the functional descriptions, formally equivalent services may still differ with respect to their implemented functionality. As a consequence, the most appropriate solution for a desired functionality can hardly be determined without considering additional information. In this paper, we demonstrate how to overcome this lack of information by means of Reinforcement Learning. In order to resolve ambiguity, we expand state-space based service composition by a recommendation mechanism that supports decision-making beyond formal specifications. The recommendation mechanism adjusts its recommendation strategy based on feedback from previous composition runs. Image processing serves as case study. Experimental results show the benefit of our proposed solution.}}, author = {{Jungmann, Alexander and Mohr, Felix and Kleinjohann, Bernd}}, booktitle = {{Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA)}}, pages = {{105--112}}, publisher = {{IEEE Computer Society}}, title = {{{Applying Reinforcement Learning for Resolving Ambiguity in Service Composition}}}, year = {{2014}}, } @article{25116, author = {{Becker, Markus and Kuznik, Christoph}}, journal = {{Forum on Specification & Design Languages (FDL 2014)}}, title = {{{Fast Many-Worlds Simulation to Resolve Nondeterminism of Fault Effect Propagation}}}, year = {{2014}}, } @phdthesis{25118, author = {{Hagenkötter, Sebastian}}, isbn = {{ 978-3-942647-55-7}}, publisher = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, Band 336}}, title = {{{Adaptive prozessintegrierte Qualitätsüberwachung von Ultraschalldrahtbondprozessen}}}, volume = {{336}}, year = {{2014}}, } @inproceedings{25119, abstract = {{In case of a disaster it is of utmost importance to obtain an overview of the affected area in order to coordinate rescue operations. Recent research and development has led to affordable unmanned aerial vehicles (UAVs) and enabled (semi-)autonomous surveillance and mapping of a disaster areas by UAVs. Mapping an area from many images incorporates image registration. Commonly used registration techniques expect static images to be registered. However, while mapping a disaster area, it is very likely that objects like vehicles or persons are moving on the ground, thus leading to dynamic scenes. We formerly introduced a fast and robust approach to register large amounts of successively arriving images, e.g., from UAVs. The approach only uses rigid-body transformations, but the usage of virtual forces enables the registration to tolerate small perspective distortions. This paper investigates the performance of our approach when applied to dynamic scenes, which are represented by nonlinear disturbances within image correspondences. We show that our approach not only tolerates small perspective distortions but also is able to register dynamic scenes. }}, author = {{Stern, Claudius and Kleinjohann, Lisa}}, booktitle = {{Proceedings of The 2nd International Conference on Intelligent Systems and Image Processing 2014}}, location = {{Kitakyushu, Japan, 26. - 29. Sep. 2014}}, pages = {{209--215}}, publisher = {{ Institute of Industrial Applications Engineers}}, title = {{{Evaluating Influence of Nonlinear Disturbances on Image Registration Based on Virtual Forces}}}, year = {{2014}}, } @inproceedings{25122, author = {{Grösbrink, Stefan and Almeida, Luis}}, booktitle = {{19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}}, title = {{{A Criticality-aware Mapping of Real-time Virtual Machines to Multi-core Processors}}}, year = {{2014}}, } @inproceedings{25145, author = {{Becker, Markus and Kuznik, Christoph and Müller, Wolfgang}}, booktitle = {{17th Euromicro Conference on Digital Systems Design (DSD)}}, title = {{{Virtual Platforms for Model-Based Design of Dependable Cyber-Physical System Software}}}, year = {{2014}}, } @inproceedings{25147, author = {{Jatzkowski, Jan and Kleinjohann, Bernd}}, booktitle = {{2nd International Conference on System-integrated Intelligence: New Challenges for Product and Production Engineering (SysInt)}}, title = {{{Towards Self-Reconfiguration of Real-Time Communication within Cyber-Physical Systems}}}, year = {{2014}}, } @inproceedings{25148, author = {{Sudhakar, Krishna and Zhao, Yuhong and Rammig, Franz-Josef}}, booktitle = {{Proc. 2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC)}}, pages = {{374--383}}, publisher = {{IEEE Xplore}}, title = {{{Efficient Integration of Online Model Checking into a Small-Footprint Real-Time Operating System}}}, year = {{2014}}, } @inproceedings{25149, author = {{Rammig, Franz-Josef and Stahl, Katharina}}, booktitle = {{Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC), 2014 IEEE 17th International Symposium on}}, pages = {{334--341}}, title = {{{Online Behavior Classification for Anomaly Detection in Self-X Real-Time Systems}}}, year = {{2014}}, } @inproceedings{25150, author = {{Jungmann, Alexander and Mohr, Felix and Kleinjohann, Bernd}}, booktitle = {{Proceedings of the 10th World Congress on Services (SERVICES)}}, pages = {{346--353}}, publisher = {{IEEE}}, title = {{{Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services}}}, year = {{2014}}, } @inproceedings{25152, author = {{Grösbrink, Stefan}}, booktitle = {{8th IEEE International Conference on Software Security and Reliability}}, title = {{{Virtual Machine Migration as a Fault Tolerance Technique for Embedded Real-Time Systems}}}, year = {{2014}}, } @inproceedings{25153, author = {{Jungmann, Alexander and Brangewitz, Sonja and Petrlic, Ronald and Platenius, Marie Christin}}, booktitle = {{Proceedings of the Sixth International Conferences on Advanced Service Computing (SERVICE COMPUTATION)}}, pages = {{49--57}}, title = {{{Towards a Flexible and Privacy-Preserving Reputation System for Markets of Composed Services}}}, year = {{2014}}, } @article{25154, author = {{Brink, Christopher and Jatzkowski, Jan}}, journal = {{SafeTRANS News (1)}}, pages = {{12--13}}, title = {{{EU-Forschungsprojekt AMALTHEA: Entwicklung einer open-source Entwicklungsplattform, erweiterbar durch die Community}}}, year = {{2014}}, } @inproceedings{25155, author = {{Becker, Markus and Kuznik, Christoph and Müller, Wolfgang}}, booktitle = {{ACM/IEEE 5th International Conference on Cyber-Physical Systems}}, title = {{{Fault Effect Modeling in a Heterogeneous SystemC Virtual Platform Framework for Cyber-Physical Systems}}}, year = {{2014}}, } @inproceedings{25156, author = {{Petrlic, Ronald and Jungmann, Alexander and Platenius, Marie Christin and Schäfer, Wilhelm and Sorge, Christoph}}, booktitle = {{Proceeding of: 4. Konferenz Software-Technologien und -Prozesse (STeP 2014)}}, title = {{{Security and Privacy Challenges in On-The-Fly Computing}}}, year = {{2014}}, } @inproceedings{25159, author = {{Grösbrink, Stefan}}, booktitle = {{GI Design For Future Workshop}}, title = {{{Increasing the Reusability of Embedded Real-time Software by a Standardized Interface for Paravirtualization}}}, year = {{2014}}, } @inproceedings{25160, author = {{Grösbrink, Stefan and Almeida, Luis and de Sousa, Mario and Petters, Stefan M.}}, booktitle = {{20th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)}}, title = {{{Towards Certifiable Adaptive Reservations for Hypervisor-based Virtualization}}}, year = {{2014}}, } @inproceedings{25161, author = {{Koppelmann, Bastian and Becker, Markus and Müller, Wolfgang}}, booktitle = {{17. Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV 2014) }}, title = {{{Portierung der TriCore-Architektur auf QEMU}}}, year = {{2014}}, }