Institut für Parallele und Verteilte Systeme (IPVS)

Publikationen

Eine Übersicht der Publikationen des Instituts für Parallele und Verteilte Systeme

Publikationen AS: Bibliographie 2018 BibTeX

 
@inproceedings {INPROC-2018-54,
   author = {Alejandro Villanueva Zacarias and Peter Reimann and Bernhard Mitschang},
   title = {{A Framework to Guide the Selection and Configuration of Machine-Learning-based Data Analytics Solutions in Manufacturing}},
   booktitle = {Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018)},
   publisher = {Elsevier BV},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {153--158},
   type = {Konferenz-Beitrag},
   month = {Mai},
   year = {2018},
   keywords = {data analytics; machine learning; learning algorithms; generative design},
   language = {Englisch},
   cr-category = {H.2.8 Database Applications},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {Users in manufacturing willing to apply machine-learning-based (ML-based) data analytics face challenges related to data quality or to the selection and configuration of proper ML algorithms. Current approaches are either purely empirical or reliant on technical data. This makes understanding and comparing candidate solutions difficult, and also ignores the way it impacts the real application problem. In this paper, we propose a framework to generate analytics solutions based on a systematic profiling of all aspects involved. With it, users can visually and systematically explore relevant alternatives for their specific scenario, and obtain recommendations in terms of costs, productivity, results quality, or execution time.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-54&engl=0}
}
@inproceedings {INPROC-2018-53,
   author = {Vitali Hirsch and Peter Reimann and Oliver Kirn and Bernhard Mitschang},
   title = {{Analytical Approach to Support Fault Diagnosis and Quality Control in End-Of-Line Testing}},
   booktitle = {Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018)},
   publisher = {Elsevier BV},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {1333--1338},
   type = {Konferenz-Beitrag},
   month = {Mai},
   year = {2018},
   keywords = {Analytics; decision support; recommendation system; fault diagnosis; quality control},
   language = {Englisch},
   cr-category = {H.2.8 Database Applications},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {Operators in end-of-line testing of assembly lines often try out multiple solutions until they can solve a product quality issue. This calls for a decision support system based on data analytics that effectively helps operators in fault diagnosis and quality control. However, existing analytical approaches do not consider the specific data characteristics being prevalent in the area of End-of-Line (EoL) testing. We address this issue by proposing an analytical approach that is tailored to EoL testing. We show how to implement this approach in a real-world use case of a large automotive manufacturer, which reveals its potential to reduce unnecessary rework.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-53&engl=0}
}
@inproceedings {INPROC-2018-41,
   author = {Michael Wurster and Uwe Breitenb{\"u}cher and Oliver Kopp and Frank Leymann},
   title = {{Modeling and Automated Execution of Application Deployment Tests}},
   booktitle = {Proceedings of the IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)},
   publisher = {IEEE Computer Society},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {171--180},
   type = {Konferenz-Beitrag},
   month = {Oktober},
   year = {2018},
   doi = {10.1109/EDOC.2018.00030},
   keywords = {Testing; Declarative Application Deployment; Test Automation; Model-based Testing; TOSCA},
   language = {Englisch},
   cr-category = {D.2.5 Software Engineering Testing and Debugging,     D.2.9 Software Engineering Management},
   contact = {Michael Wurster michael.wurster@iaas.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
   abstract = {In recent years, many deployment systems have been developed that process deployment models to automatically provision applications. The main objective of these systems is to shorten delivery times and to ensure a proper execution of the deployment process. However, these systems mainly focus on the correct technical execution of the deployment, but do not check whether the deployed application is working properly. Especially in DevOps scenarios where applications are modified frequently, this can quickly lead to broken deployments, for example, if a wrong component version was specified in the deployment model that has not been adapted to a new database schema. Ironically, even hardly noticeable errors in deployment models quickly result in technically successful deployments, which do not work at all. In this paper, we tackle these issues. We present a modeling concept that enables developers to define deployment tests directly along with the deployment model. These tests are then automatically run by a runtime after deployment to verify that the application is working properly. To validate the technical feasibility of the approach, we applied the concept to TOSCA and extended an existing open source TOSCA runtime.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-41&engl=0}
}
@inproceedings {INPROC-2018-38,
   author = {Andreas Liebing and Lutz Ashauer and Uwe Breitenb{\"u}cher and Thomas G{\"u}nther and Michael Hahn and K{\'a}lm{\'a}n K{\'e}pes and Oliver Kopp and Frank Leymann and Bernhard Mitschang and Ana C. Franco da Silva and Ronald Steinke},
   title = {{The SmartOrchestra Platform: A Configurable Smart Service Platform for IoT Systems}},
   booktitle = {Papers from the 12th Advanced Summer School on Service-Oriented Computing (SummerSoC 2018)},
   publisher = {IBM Research Division},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {14--21},
   type = {Konferenz-Beitrag},
   month = {Oktober},
   year = {2018},
   keywords = {SmartOrchestra Platform; Smart Services; Cyber-Physical Systems; Internet of Things},
   language = {Englisch},
   cr-category = {K.6 Management of Computing and Information Systems,     D.2.7 Software Engineering Distribution, Maintenance, and Enhancement,     D.2.12 Software Engineering Interoperability},
   ee = {https://www.2018.summersoc.eu/},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
   abstract = {The Internet of Things is growing rapidly while still missing a universal operat-ing and management platform for multiple diverse use cases. Such a platform should provide all necessary functionalities and the underlying infrastructure for the setup, execution and composition of Smart Services. The concept of Smart Services enables the connection and integration of cyber-physical systems (CPS) and technologies (i.e., sensors and actuators) with business-related applications and services. Therefore, the SmartOrchestra Platform provides an open and standards-based service platform for the utilization of public administrative and business-related Smart Services. It combines the features of an operating plat-form, a marketplace, a broker, and a notary for a cloud-based operation of Smart Services. Thus, users of cyber-physical systems are free to choose their control applications, no matter what device they are using (e.g., smartphone, tablet or personal computer) and they also become independent of the manufacturers’ software. This will enable new business opportunities for different stakeholders in the market and allows flexibly composing Smart Services.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-38&engl=0}
}
@inproceedings {INPROC-2018-34,
   author = {Ana Cristina Franco da Silva and Pascal Hirmer and Rafael Koch Peres and Bernhard Mitschang},
   title = {{An Approach for CEP Query Shipping to Support Distributed IoT Environments}},
   booktitle = {Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)},
   publisher = {IEEE},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {247--252},
   type = {Konferenz-Beitrag},
   month = {Oktober},
   year = {2018},
   isbn = {978-1-5386-3227-7},
   doi = {10.1109/PERCOMW.2018.8480241},
   language = {Englisch},
   cr-category = {H.0 Information Systems General},
   ee = {https://ieeexplore.ieee.org/document/8480241},
   contact = {francoaa@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-34&engl=0}
}
@inproceedings {INPROC-2018-33,
   author = {Karoline Saatkamp and Uwe Breitenb{\"u}cher and Oliver Kopp and Frank Leymann},
   title = {{Application Scenarios for Automated Problem Detection in TOSCA Topologies by Formalized Patterns}},
   booktitle = {Papers From the 12th Advanced Summer School of Service-Oriented Computing (SummerSOC 2018)},
   publisher = {IBM Research Division},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {43--53},
   type = {Konferenz-Beitrag},
   month = {Oktober},
   year = {2018},
   keywords = {Cloud Computing Patterns; Formalization; Prolog; TOSCA},
   language = {Englisch},
   cr-category = {C.2.4 Distributed Systems,     D.2.7 Software Engineering Distribution, Maintenance, and Enhancement,     K.6 Management of Computing and Information Systems},
   ee = {https://www.2018.summersoc.eu/},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-33&engl=0}
}
@inproceedings {INPROC-2018-28,
   author = {Mathias Mormul and Pascal Hirmer and Matthias Wieland and Bernhard Mitschang},
   title = {{Layered Modeling Approach for Distributed Situation Recognition in Smart Environments}},
   booktitle = {Tagungsband: SMART 2018, The Seventh International Conference on Smart Cities, Systems, Devices and Technologies},
   publisher = {Xpert Publishing Services},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {47--53},
   type = {Konferenz-Beitrag},
   month = {Juli},
   year = {2018},
   isbn = {978-1-61208-653-8},
   keywords = {Industry 4.0; Edge Computing; Smart Factories; Smart Homes; Situation Recognition; Distribution Pattern},
   language = {Englisch},
   cr-category = {H.0 Information Systems General},
   contact = {mathias.mormul@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-28&engl=0}
}
@inproceedings {INPROC-2018-24,
   author = {Dominik Lucke and Peter Einberger and Daniel Schel and Michael Luckert and Matthias Schneider and Emir Cuk and Thomas Bauernhansl and Matthias Wieland and Frank Steimle and Bernhard Mitschang},
   title = {{Implementation of the MIALinx Integration Concept for Future Manufacturing Environments to Enable Retrofitting of Machines}},
   booktitle = {Proceedings of the 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME '18); Naples, Italy, July 18-20, 2018},
   publisher = {Elsevier},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {596--601},
   type = {Konferenz-Beitrag},
   month = {Juli},
   year = {2018},
   doi = {10.1016/j.procir.2019.02.084},
   keywords = {Manufacturing; Smart Factory; Industrie 4.0; Manufacturing Service Bus; Rules; Integration; MIALinx},
   language = {Englisch},
   cr-category = {H.4.0 Information Systems Applications General,     I.2.1 Applications and Expert Systems},
   ee = {http://www.sciencedirect.com/science/article/pii/S221282711930201X},
   contact = {Frank.Steimle@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {Manufacturing has to adapt permanently to changing situations in order to stay competitive. It demands a flexible and easy-to-use integration of production equipment and ICT systems on the shop floor. The contribution of this paper is the presentation of the implementation architecture of the Manufacturing Integration Assistant (MIALinx) that simplifies this challenge. The integration steps range from integrating sensors over collecting and rule-based processing of sensor information to the execution of required actions. Furthermore, we describe the implementation of MIALinx by commissioning it in a manufacturing environment to retrofit legacy machines for Industrie 4.0. Finally, we validate the suitability of our approach by applying our solution in the production environment of a medium-size company.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-24&engl=0}
}
@inproceedings {INPROC-2018-23,
   author = {Dominik Brenner and Christian Weber and Juergen Lenz and Engelbert Westk{\"a}mper},
   title = {{Total Tool Cost of Ownership Indicator for Holistical Evaluations of Improvement Measures within the Cutting Tool Life Cycle}},
   booktitle = {51st CIRP Conference on Manufacturing Systems (CIRP CMS), Stockholm, Sweden, May 16-18, 2018},
   editor = {Lihui Wang and Torsten Kjellberg and Xi Vincent Wang and Wei Ji},
   publisher = {Elsevier},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   series = {Procedia CIRP},
   volume = {72},
   pages = {1404--1409},
   type = {Konferenz-Beitrag},
   month = {Mai},
   year = {2018},
   doi = {https://doi.org/10.1016/j.procir.2018.03.164},
   issn = {2212-8271},
   keywords = {Cutting Tool Life Cycle; Total Cost of Ownership; Manufacturing; Data Integration},
   language = {Englisch},
   cr-category = {H.3.0 Information Storage and Retrieval General,     H.4.0 Information Systems Applications General,     J.1 Administration Data Processing},
   ee = {http://www.sciencedirect.com/science/article/pii/S2212827118303226},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-23&engl=0}
}
@inproceedings {INPROC-2018-22,
   author = {Rachaa Ghabri and Pascal Hirmer and Bernhard Mitschang},
   title = {{A Hybrid Approach to Implement Data Driven Optimization into Production Environments}},
   booktitle = {Proceedings of the 21st International Conference on Business Information Systems (BIS)},
   editor = {Witold Abramowicz and Adrian Paschke},
   publisher = {Springer Berlin Heidelberg},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   series = {Lecture Notes in Business Information Processing},
   volume = {320},
   pages = {3--14},
   type = {Konferenz-Beitrag},
   month = {Juli},
   year = {2018},
   isbn = {978-3-319-93930-8},
   doi = {https://doi.org/10.1007/978-3-319-93931-5},
   issn = {1865-1356},
   keywords = {Data driven optimization; Production environment; Top-down; Bottom-up},
   language = {Englisch},
   cr-category = {H.0 Information Systems General},
   ee = {https://link.springer.com/chapter/10.1007/978-3-319-93931-5_1},
   contact = {rachaa.ghabri@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-22&engl=0}
}
@inproceedings {INPROC-2018-19,
   author = {Christoph Stach and Frank Steimle and Bernhard Mitschang},
   title = {{THOR - Ein Datenschutzkonzept f{\"u}r die Industrie 4.0: Datenschutzsysteme f{\"u}r die Smart Factory zur Realisierung der DSGVO}},
   booktitle = {Informatik 2018: Zukunft der Arbeit - Zukunft der Informatik, Tagungsband der 48. Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. (GI), 26.09. - 27.09.2018, Berlin.},
   publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   series = {Lecture Notes in Informatics (LNI)},
   pages = {1--12},
   type = {Workshop-Beitrag},
   month = {September},
   year = {2018},
   keywords = {Datenschutz; Internet der Dinge; Sensoren; Industrie 4.0; Datenstr{\"o}me; Smart Devices},
   language = {Deutsch},
   cr-category = {K.4.1 Computers and Society Public Policy Issues,     D.4.6 Operating Systems Security and Protection},
   contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {Der Aufschwung des Internets der Dinge (IoT) sorgt f{\"u}r eine voranschreitende Digitalisierung. Sensoren in Alltagsgegenst{\"a}nden erfassen unterschiedliche Aspekte des t{\"a}glichen Lebens. Durch eine Vernetzung dieser Ger{\"a}te, lassen sich die Daten miteinander kombinieren und daraus neues Wissen generieren. In der Industrie 4.0 werden beispielsweise die am Produktionsprozess beteiligten cyber-physischen Systeme dazu genutzt, um mit den von ihnen erfassten Daten Produktionsprozesse zu optimieren. Da auch der Mensch ein relevanter Bestandteil des Produktionsprozesses ist, werden z.B. mittels Smart Watches auch {\"u}ber diesen viele Daten erfasst. Nicht erst mit der Einf{\"u}hrung der neuen Datenschutzgrundverordnung (DSGVO) sind hierbei allerdings Datenschutzanforderungen zu beachten: Es m{\"u}ssen nicht nur die privaten Daten der Nutzer gesch{\"u}tzt werden, sondern es muss auch sichergestellt werden, dass die Datenverarbeitung und -analyse dadurch so wenig wie m{\"o}glich behindert werden. Wir stellen hierf{\"u}r ein neuartiges Datenschutzkonzept f{\"u}r die Industrie 4.0 (THOR) vor, mit dem Kompromisse zwischen erforderlichem Datenschutz und gew{\"u}nschter Datenqualit{\"a}t gefunden werden k{\"o}nnen, der der DSGVO gen{\"u}gt.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-19&engl=0}
}
@inproceedings {INPROC-2018-18,
   author = {Ana Cristina Franco da Silva and Pascal Hirmer and Uwe Breitenb{\"u}cher and Oliver Kopp and Bernhard Mitschang},
   title = {{TDLIoT: A Topic Description Language for the Internet of Things}},
   booktitle = {ICWE 2018: Web Engineering},
   editor = {Tommi Mikkonen and Ralf Klamma and Juan Hern{\'a}ndez},
   publisher = {Springer Berlin Heidelberg},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   series = {Lecture Notes in Computer Science (LNCS)},
   volume = {10845},
   pages = {333--348},
   type = {Konferenz-Beitrag},
   month = {Mai},
   year = {2018},
   doi = {10.1007/978-3-319-91662-0_27},
   keywords = {Internet of Things; Publish-subscribe; Description Language},
   language = {Englisch},
   cr-category = {K.6 Management of Computing and Information Systems,     D.2.12 Software Engineering Interoperability},
   ee = {https://link.springer.com/chapter/10.1007/978-3-319-91662-0_27},
   contact = {franco-da-silva@informatik.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-18&engl=0}
}
@inproceedings {INPROC-2018-17,
   author = {Marc H{\"u}ffmeyer and Pascal Hirmer and Bernhard Mitschang and Ulf Schreier and Matthias Wieland},
   title = {{Situation-Aware Access Control for Industrie 4.0}},
   booktitle = {ICISSP 2017: Information Systems Security and Privacy},
   publisher = {Springer},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   series = {Communications in Computer and Information Science},
   volume = {867},
   pages = {59--83},
   type = {Konferenz-Beitrag},
   month = {Juni},
   year = {2018},
   keywords = {Authorization; Attribute based access control; Situation-awareness; REST; Internet of Things},
   language = {Englisch},
   cr-category = {E.0 Data General},
   ee = {https://link.springer.com/chapter/10.1007/978-3-319-93354-2_4},
   contact = {Pascal.Hirmer@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-17&engl=0}
}
@inproceedings {INPROC-2018-15,
   author = {Christoph Stach and Sascha Alpers and Stefanie Betz and Frank D{\"u}rr and Andreas Fritsch and Kai Mindermann and Saravana Murthy Palanisamy and Gunther Schiefer and Manuela Wagner and Bernhard Mitschang and Andreas Oberweis and Stefan Wagner},
   title = {{The AVARE PATRON: A Holistic Privacy Approach for the Internet of Things}},
   booktitle = {Proceedings of the 15th International Conference on Security and Cryptography (SECRYPT '18)},
   publisher = {INSTICC Press},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {1--8},
   type = {Konferenz-Beitrag},
   month = {Juli},
   year = {2018},
   keywords = {Privacy; IoT Apps; Smart Things; Stream Processing; Privacy Preferences Elicitation \& Veri\&\#64257; cation},
   language = {Englisch},
   cr-category = {K.4.1 Computers and Society Public Policy Issues,     D.4.6 Operating Systems Security and Protection},
   contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Software Engineering;     Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Verteilte Systeme},
   abstract = {Applications for the Internet of Things are becoming increasingly popular. Due to the large amount of available context data, such applications can be used effectively in many domains. By interlinking these data and analyzing them, it is possible to gather a lot of knowledge about a user. Therefore, these applications pose a threat to privacy. In this paper, we illustrate this threat by looking at a real-world application scenario. Current state of the art focuses on privacy mechanisms either for Smart Things or for big data processing systems. However, our studies show that for a comprehensive privacy protection a holistic view on these applications is required. Therefore, we describe how to combine two promising privacy approaches from both categories, namely AVARE and PATRON. Evaluation results confirm the thereby achieved synergy effects.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-15&engl=0}
}
@inproceedings {INPROC-2018-14,
   author = {Corinna Giebler and Christoph Stach and Holger Schwarz and Bernhard Mitschang},
   title = {{BRAID - A Hybrid Processing Architecture for Big Data}},
   booktitle = {Proceedings of the 7th International Conference on Data Science, Technology and Applications (DATA 2018)},
   publisher = {INSTICC Press},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {1--8},
   type = {Konferenz-Beitrag},
   month = {Juli},
   year = {2018},
   keywords = {Big Data; IoT; Batch Processing; Stream Processing; Lambda Architecture; Kappa Architecture},
   language = {Englisch},
   cr-category = {D.2.11 Software Engineering Software Architectures,     H.2.4 Database Management Systems,     H.2.8 Database Applications},
   contact = {Senden Sie eine e-Mail an Corinna.Giebler@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {The Internet of Things is applied in many domains and collects vast amounts of data. This data provides access to a lot of knowledge when analyzed comprehensively. However, advanced analysis techniques such as predictive or prescriptive analytics require access to both, history data, i.e., long-term persisted data, and real-time data as well as a joint view on both types of data. State-of-the-art hybrid processing architectures for big data - namely, the Lambda and the Kappa Architecture - support the processing of history data and real-time data. However, they lack of a tight coupling of the two processing modes. That is, the user has to do a lot of work manually in order to enable a comprehensive analysis of the data. For instance, the user has to combine the results of both processing modes or apply knowledge from one processing mode to the other. Therefore, we introduce a novel hybrid processing architecture for big data, called BRAID. BRAID intertwines the processing of history data and real-time data by adding communication channels between the batch engine and the stream engine. This enables to carry out comprehensive analyses automatically at a reasonable overhead.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-14&engl=0}
}
@inproceedings {INPROC-2018-12,
   author = {Oliver Kopp and Uwe Breitenb{\"u}cher and Tamara M{\"u}ller},
   title = {{CloudRef - Towards Collaborative Reference Management in the Cloud}},
   booktitle = {Proceedings of the 10th Central European Workshop on Services and their Composition (ZEUS 2018)},
   editor = {Nico Herzberg and Christoph Hochreiner and Oliver Kopp and J{\"o}rg Lenhard},
   publisher = {CEUR-WS.org},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   series = {CEUR Workshop Proceedings},
   volume = {2072},
   pages = {63--68},
   type = {Workshop-Beitrag},
   month = {April},
   year = {2018},
   issn = {1613-0073},
   language = {Englisch},
   cr-category = {H.4.1 Office Automation},
   ee = {http://ceur-ws.org/Vol-2072/,     http://ceur-ws.org/Vol-2072/paper10.pdf},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-12&engl=0}
}
@inproceedings {INPROC-2018-11,
   author = {Oliver Kopp and Anita Armbruster and Olaf Zimmermann},
   title = {{Markdown Architectural Decision Records: Format and Tool Support}},
   booktitle = {Proceedings of the 10th Central European Workshop on Services and their Composition (ZEUS 2018)},
   editor = {Nico Herzberg and Christoph Hochreiner and Oliver Kopp and J{\"o}rg Lenhard},
   publisher = {CEUR-WS.org},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   series = {CEUR Workshop Proceedings},
   volume = {2072},
   pages = {55--62},
   type = {Konferenz-Beitrag},
   month = {April},
   year = {2018},
   issn = {1613-0073},
   language = {Englisch},
   cr-category = {H.4.1 Office Automation},
   ee = {http://ceur-ws.org/Vol-2072/,     http://ceur-ws.org/Vol-2072/paper9.pdf},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-11&engl=0}
}
@inproceedings {INPROC-2018-10,
   author = {Jan K{\"o}nigsberger and Bernhard Mitschang},
   title = {{R2SMA - A Middleware Architecture to Access Legacy Enterprise Web Services using Lightweight REST APIs}},
   booktitle = {Proceedings of the 20th International Conference on Enterprise Information Systems},
   editor = {Slimane Hammoudi and Michal Smialek and Olivier Camp and Joaquim Filipe},
   publisher = {SciTePress},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {704--711},
   type = {Konferenz-Beitrag},
   month = {M{\"a}rz},
   year = {2018},
   isbn = {978-989-758-298-1},
   keywords = {REST; API; SOAP; Web Service; SOA; Enterprise SOA; Architecture},
   language = {Englisch},
   cr-category = {H.5.4 Hypertext/Hypermedia,     H.3.5 Online Information Services},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-10&engl=0}
}
@inproceedings {INPROC-2018-05,
   author = {Christoph Stach and Bernhard Mitschang},
   title = {{CURATOR - A Secure Shared Object Store: Design, Implementation, and Evaluation of a Manageable, Secure, and Performant Data Exchange Mechanism for Smart Devices}},
   booktitle = {Proceedings of the 33rd ACM/SIGAPP Symposium On Applied Computing (DTTA)},
   publisher = {ACM Press},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {1--8},
   type = {Konferenz-Beitrag},
   month = {April},
   year = {2018},
   keywords = {data exchange; smart devices; shared object store; security},
   language = {Englisch},
   cr-category = {K.4.1 Computers and Society Public Policy Issues,     D.4.6 Operating Systems Security and Protection},
   contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {Nowadays, smart devices have become incredible popular - literally everybody has one. Due to an enormous quantity of versatile apps, these devices positively affect almost every aspect of their users' lives. E.g., there are apps collecting and monitoring health data from a certain domain such as diabetes-related or respiration-related data. However, they cannot display their whole potential since they have only access to their own data and cannot combine it with data from other apps, e.g., in order to create a comprehensive electronic health record. On that account, we introduce a seCURe shAred objecT stORe called CURATOR. In CURATOR apps cannot only manage their own data in an easy and performant way, but they can also share it with other apps. Since some of the data is confidential, CURATOR has several security features, including authentication, fine-grained access control, and encryption. In this paper, we discuss CURATOR's design and implementation and evaluate its performance.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-05&engl=0}
}
@inproceedings {INPROC-2018-04,
   author = {Christoph Stach and Frank D{\"u}rr and Kai Mindermann and Saravana Murthy Palanisamy and Stefan Wagner},
   title = {{How a Pattern-based Privacy System Contributes to Improve Context Recognition}},
   booktitle = {Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (CoMoRea)},
   publisher = {IEEE Computer Society},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {1--6},
   type = {Workshop-Beitrag},
   month = {M{\"a}rz},
   year = {2018},
   keywords = {privacy; access control; pattern concealing; stream processing; complex event processing; databases},
   language = {Englisch},
   cr-category = {K.4.1 Computers and Society Public Policy Issues,     D.4.6 Operating Systems Security and Protection},
   contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Software Engineering;     Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Verteilte Systeme},
   abstract = {As Smart Devices have access to a lot of user-preferential data, they come in handy in any situation. Although such data - as well as the knowledge which can be derived from it - is highly beneficial as apps are able to adapt their services appropriate to the respective context, it also poses a privacy threat. Thus, a lot of research work is done regarding privacy. Yet, all approaches obfuscate certain attributes which has a negative impact on context recognition and thus service quality. Therefore, we introduce a novel access control mechanism called PATRON. The basic idea is to control access to information patterns. For instance, a person suffering from diabetes might not want to reveal his or her unhealthy eating habit, which can be derived from the pattern ``rising blood sugar level'' -$>$ ``adding bread units''. Such a pattern which must not be discoverable by some parties (e.g., insurance companies) is called private pattern whereas a pattern which improves an app's service quality is labeled as public pattern. PATRON employs different techniques to conceal private patterns and, in case of available alternatives, selects the one with the least negative impact on service quality, such that the recognition of public patterns is supported as good as possible.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-04&engl=0}
}
@inproceedings {INPROC-2018-03,
   author = {Christoph Stach and Frank Steimle and Bernhard Mitschang},
   title = {{The Privacy Management Platform: An Enabler for Device Interoperability and Information Security in mHealth Applications}},
   booktitle = {Proceedings of the 11th International Conference on Health Informatics (HEALTHINF 2018)},
   publisher = {SciTePress},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {1--12},
   type = {Konferenz-Beitrag},
   month = {Januar},
   year = {2018},
   keywords = {mHealth; Device Interoperability; Information Security; COPD; Privacy Management Platform},
   language = {Englisch},
   cr-category = {H.5.0 Information Interfaces and Presentation General,     K.6.5 Security and Protection,     K.8 Personal Computing},
   contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {Chronic diseases are on the rise. Afflicted patients require persistent therapy and periodic screenings. This causes high treatment costs and overburdened physicians. Innovative approaches that enable patients to perform treatment methods on their own are badly needed. Telemedical approaches with the aid of modern Smartphones connected to medical devices (the so-called mHealth) can be the answer. However, mHealth apps face two key challenges, namely device interoperability and information security. In this paper, we describe how the Privacy Management Platform (PMP) and its extendable Resources can contribute to these challenges. Therefore, we analyze a real-world mHealth app and derive generic functional units, each realizing a certain task recurring frequently within mHealth apps, e.g., metering, data storage, or data transmission. For each functional unit we provide a PMP Resource, enabling both, device interoperability and information security. Finally, we revise the analyzed mHealth app using the Resources in order to evaluate our approach.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-03&engl=0}
}
@inproceedings {INPROC-2018-02,
   author = {Christoph Stach},
   title = {{Big Brother is Smart Watching You: Privacy Concerns about Health and Fitness Applications}},
   booktitle = {Proceedings of the 4th International Conference on Information Systems Security and Privacy (ICISSP 2018)},
   publisher = {SciTePress},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {1--11},
   type = {Konferenz-Beitrag},
   month = {Januar},
   year = {2018},
   keywords = {Smartbands; Health and Fitness Applications; Privacy Concerns; Privacy Management Platform},
   language = {Englisch},
   cr-category = {K.4.1 Computers and Society Public Policy Issues,     D.4.6 Operating Systems Security and Protection,     K.8 Personal Computing},
   contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {Health and fitness applications for mobile devices are becoming more and more popular. Due to novel wearable metering devices, the so-called Smartbands, these applications are able to capture both health data (e.g., the heart rate) as well as personal information (e.g., location data) and create a quantified self for their users. However, many of these applications violate the user's privacy and misuse the collected data. It becomes apparent that this threat is inherent in the privacy systems implemented in mobile platforms. Therefore, we apply the Privacy Policy Model (PPM) a fine-grained and modular expandable permission model to deals with this problem. We implement our adapted model in a prototype based on the Privacy Management Platform (PMP). Subsequently, we evaluate our model with the help the prototype and demonstrate its applicability for any application using Smartbands for its data acquisition.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-02&engl=0}
}
@inproceedings {INPROC-2018-01,
   author = {Christoph Stach and Bernhard Mitschang},
   title = {{ACCESSORS: A Data-Centric Permission Model for the Internet of Things}},
   booktitle = {Proceedings of the 4th International Conference on Information Systems Security and Privacy (ICISSP 2018).},
   publisher = {SciTePress},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   pages = {1--11},
   type = {Konferenz-Beitrag},
   month = {Januar},
   year = {2018},
   keywords = {Permission Model; Data-Centric; Derivation Transparent; Fine-Grained; Context-Sensitive; IoT},
   language = {Englisch},
   cr-category = {K.4.1 Computers and Society Public Policy Issues,     D.4.6 Operating Systems Security and Protection},
   contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {The Internet of Things (IoT) is gaining more and more relevance. Due to innovative IoT devices equipped with novel sensors, new application domains come up continuously. These domains include Smart Homes, Smart Health, and Smart Cars among others. As the devices not only collect a lot of data about the user, but also share this information with each other, privacy is a key issue for IoT applications. However, traditional privacy systems cannot be applied to the IoT directly due to different requirements towards the underlying permission models. Therefore, we analyze existing permission models regarding their applicability in the IoT domain. Based on this analysis, we come up with a novel permission model, implement it in a privacy system, and assess its utility.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-01&engl=0}
}
@article {ART-2018-07,
   author = {Eva Hoos and Pascal Hirmer and Bernhard Mitschang},
   title = {{Automated Creation and Provisioning of Decision Information Packages for the Smart Factory}},
   journal = {Complex Systems Informatics and Modeling Quarterly},
   publisher = {Online},
   volume = {15},
   pages = {72--89},
   type = {Artikel in Zeitschrift},
   month = {August},
   year = {2018},
   issn = {2255-9922},
   doi = {10.7250/csimq.2018-15.04},
   keywords = {Industry 4.0; Context-awareness; Data Provisioning},
   language = {Englisch},
   cr-category = {H.0 Information Systems General},
   ee = {https://csimq-journals.rtu.lv/article/view/csimq.2018-15.04},
   contact = {Pascal.Hirmer@ipvs.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2018-07&engl=0}
}
@article {ART-2018-06,
   author = {Christian Weber and Matthias Wieland and Peter Reimann},
   title = {{Konzepte zur Datenverarbeitung in Referenzarchitekturen f{\"u}r Industrie 4.0: Konsequenzen bei der Umsetzung einer IT-Architektur}},
   journal = {Datenbank-Spektrum},
   publisher = {Springer Berlin Heidelberg},
   volume = {18},
   number = {1},
   pages = {39--50},
   type = {Artikel in Zeitschrift},
   month = {M{\"a}rz},
   year = {2018},
   issn = {1610-1995},
   doi = {10.1007/s13222-018-0275-z},
   keywords = {Industrie 4.0; Referenzarchitektur; Datenverarbeitung; RAMI4.0; IIRA},
   language = {Deutsch},
   cr-category = {H.4.0 Information Systems Applications General,     J.2 Physical Sciences and Engineering},
   ee = {https://link.springer.com/article/10.1007/s13222-018-0275-z},
   contact = {Senden Sie eine E-Mail an christian.weber@gsame.uni-stuttgart.de},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
   abstract = {F{\"u}r produzierende Unternehmen stellt die effiziente Verarbeitung gro{\ss}er Datenmengen eine Herausforderung dar. Die Auswahl der richtigen Architekturkonzepte f{\"u}r IT-L{\"o}sungen zur Datenverarbeitung spielt dabei eine wichtige Rolle. Um die IT an den Herausforderungen von Industrie 4.0 auszurichten, stehen Unternehmen verschiedene Referenzarchitekturen internationaler Gremien zur Verf{\"u}gung. Die Hauptbeitr{\"a}ge dieses Artikels haben das Ziel, (i) einen {\"U}berblick {\"u}ber die wichtigsten Referenzarchitekturen f{\"u}r Industrie 4.0 (I4.0) zu geben und (ii) diese unter dem Aspekt der Datenverarbeitung zu untersuchen. Dazu werden die Referenzarchitekturen anhand von Datenverarbeitungsanforderungen f{\"u}r I4.0 betrachtet. Die Untersuchung zeigt, dass die I4.0-Referenzarchitekturen jeweils einen Teilbereich der Anforderungen abdecken und sich die Konzepte gegenseitig erg{\"a}nzen. (iii) Darauf aufbauend werden aus den Datenverarbeitungsanforderungen technische Konsequenzen abgeleitet und Architekturkonzepte f{\"u}r die Realisierung einer IT-Architektur f{\"u}r die Datenverarbeitung vorgestellt. Dadurch wird es IT-Architekten erm{\"o}glicht, einen Vergleich der Referenzarchitekturen hinsichtlich projektbezogener Anforderungen an die Datenverarbeitung vorzunehmen sowie geeignete Architekturentscheidungen zu treffen.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2018-06&engl=0}
}
@inbook {INBOOK-2018-01,
   author = {Jasmin Guth and Uwe Breitenb{\"u}cher and Michael Falkenthal and Paul Fremantle and Oliver Kopp and Frank Leymann and Lukas Reinfurt},
   title = {{A Detailed Analysis of IoT Platform Architectures: Concepts, Similarities, and Differences}},
   series = {Internet of Everything: Algorithms, Methodologies, Technologies and Perspectives},
   publisher = {Springer},
   pages = {81--101},
   type = {Beitrag in Buch},
   month = {Januar},
   year = {2018},
   isbn = {10.1007/978-981-10-5861-5_4},
   keywords = {Internet of Things; IoT; Platform; Reference Architecture; FIWARE; OpenMTC; SiteWhere; Webinos; AWS IoT; IBM Watson IoT Platform; Microsoft Azure IoT Hub},
   language = {Englisch},
   cr-category = {D.2.11 Software Engineering Software Architectures,     D.4.7 Operating Systems Organization and Design,     H.3.4 Information Storage and Retrieval Systems and Software},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
   abstract = {The IoT is gaining increasing attention. The overall aim is to interconnect the physical with the digital world. Therefore, the physical world is measured by sensors and translated into processible data, and data has to be translated into commands to be executed by actuators. Due to the growing interest in IoT, the number of platforms designed to support IoT has risen considerably. As a result of different approaches, standards, and use cases, there is a wide variety and heterogeneity of IoT platforms. This leads to difficulties in comprehending, selecting, and using appropriate platforms. In this work, we tackle these issues by conducting a detailed analysis of several state-of-the-art IoT platforms in order to foster the understanding of the (i) underlying concepts, (ii) similarities, and (iii) differences between them. We show that the various components of the different platforms can be mapped to an abstract reference architecture, and analyze the effectiveness of this mapping.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2018-01&engl=0}
}
@proceedings {PROC-2018-01,
   author = {Nico Herzberg},
   title = {{Proceedings of the 10th Central European Workshop on Services and their Composition (ZEUS 2018)}},
   editor = {Christoph Hochreiner and Oliver Kopp and J{\"o}rg Lenhard},
   publisher = {CEUR-WS.org},
   institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
   series = {CEUR Workshop Proceedings},
   volume = {2072},
   pages = {76},
   type = {Tagungsband},
   month = {April},
   year = {2018},
   issn = {1613-0073},
   language = {Englisch},
   cr-category = {H.4.1 Office Automation},
   ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/PROC-2018-01/PROC-2018-01.pdf,     http://ceur-ws.org/Vol-2072/},
   department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;     Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme},
   abstract = {In February 2018, we had the pleasure to organize the 10th edition of the ZEUS Workshop in Dresden, Germany. This workshop series offers young researchers an opportunity to present and discuss early ideas and work in progress as well as to establish contacts among young researchers. For this year{\^a}€™s edition, we selected eight regular submissions, two position papers, and one tool demonstration by researchers from Belgium, Egypt, Germany, Italy, and Switzerland for presentation at the workshop. Each submission went through a thorough peer-review process and was assessed by at least three members of the program committee with regard to its relevance and scientific quality. The accepted contributions cover the areas of Microservices, Business Process Management, and the Internet of Things. In addition, the workshop also hosted a tool session to introduce early stage researchers to tools that ease the literature research and the documentation of architectural decisions for software systems.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=PROC-2018-01&engl=0}
}
 
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