@inproceedings {INPROC-2017-70,
   author = {Jan K{\"o}nigsberger and Bernhard Mitschang},
   title = {{Business Objects plus (BO+): An Approach to Enhance Service Reuse and Integration in Cross-Domain SOA Compounds}},
   booktitle = {Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration},
   editor = {Chengcui Zhang and Balaji Palanisamy and Latifur Khan and Sahra Sedigh Sarvestani},
   address = {Los Alamitos, Washington, Tokyo},
   publisher = {IEEE Computer Society},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {49--58},
   type = {Conference Paper},
   month = {August},
   year = {2017},
   doi = {10.1109/IRI.2017.28},
   isbn = {978-1-5386-1562-1},
   keywords = {SOA, data model, abstraction, service interface, business objects},
   language = {German},
   cr-category = {E.2 Data Storage Representations,
                   H.3.5 Online Information Services},
   ee = {http://ieeexplore.ieee.org/document/8102918/},
   contact = {Jan K{\"o}nigsberger jan.koenigsberger@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-70&engl=1}
}

@inproceedings {INPROC-2017-66,
   author = {Andreas Bader and Oliver Kopp},
   title = {{Towards DBCloudBench - A Scenario-Based Database Benchmarking Framework}},
   booktitle = {Proceedings of the 11th Advanced Summer School on Service Oriented Computing},
   editor = {Johanna Barzen and Rania Khalaf and Frank Leymann and Bernhard Mitschang},
   publisher = {IBM Research Report},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {IBM Research Report},
   volume = {RC25670 (WAT1710-015)},
   pages = {53--5456},
   type = {Conference Paper},
   month = {October},
   year = {2017},
   language = {English},
   cr-category = {H.4.1 Office Automation},
   ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2017-66/INPROC-2017-66.pdf,
      http://domino.watson.ibm.com/library/CyberDig.nsf/1e4115aea78b6e7c85256b360066f0d4/b7ed36faf73949a4852581e7006b2a55!OpenDocument},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Many benchmarks can be used for measuring performance of different types of
      databases. To automate the process of benchmark- ing databases, this paper
      outlines DBCloudBench. It can be used to automatically setup a scenario and
      perform a benchmark run using a standards-based approach. The databases and
      benchmarks are stored in {\^a}€ścloud services archives{\^a}€ť allowing them to be
      reused and combined as necessary. Each benchmark is accompanied with an adapter
      for running the benchmark on certain database systems while using DBCloudBench.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-66&engl=1}
}

@inproceedings {INPROC-2017-49,
   author = {Eva Hoos and Matthias Wieland and Bernhard Mitschang},
   title = {{Analysis Method for Conceptual Context Modeling Applied in Production Environments}},
   booktitle = {Proceedings of 20th International Conference on Business Information Systems (BIS)},
   publisher = {Springer International Publishing},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {313--325},
   type = {Conference Paper},
   month = {May},
   year = {2017},
   keywords = {Context-awareness; production environments; Industry 4.0},
   language = {English},
   cr-category = {J.1 Administration Data Processing},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-49&engl=1}
}

@inproceedings {INPROC-2017-48,
   author = {Eva Hoos and Pascal Hirmer and Bernhard Mitschang},
   title = {{Context-Aware Decision Information Packages: An Approach to Human-Centric Smart Factories}},
   booktitle = {Proceedings of the 21st European Conference on Advances in Databases and Information Systems (ADBIS)},
   publisher = {Springer International Publishing AG 2017},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {42--56},
   type = {Conference Paper},
   month = {August},
   year = {2017},
   keywords = {Industry 4.0; Context-awareness; Data Provisioning; Smart Factory},
   language = {German},
   cr-category = {H.3.3 Information Search and Retrieval},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-48&engl=1}
}

@inproceedings {INPROC-2017-41,
   author = {Matthias Wieland and Frank Steimle and Bernhard Mitschang and Dominik Lucke and Peter Einberger and Daniel Schel and Michael Luckert and Thomas Bauernhansl},
   title = {{Rule-Based Integration of Smart Services Using the Manufacturing Service Bus}},
   booktitle = {Proceedings of 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC2017)},
   address = {Fremont, USA},
   publisher = {IEEE},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {1--8},
   type = {Conference Paper},
   month = {August},
   year = {2017},
   doi = {10.1109/UIC-ATC.2017.8397529},
   keywords = {Rules; Integration; Manufacturing; Smart Factory; Industrie 4.0; Manufacturing Service Bus},
   language = {English},
   cr-category = {H.4.0 Information Systems Applications General,
                   I.2.1 Applications and Expert Systems},
   ee = {https://ieeexplore.ieee.org/document/8397529/},
   contact = {Senden Sie eine E-Mail an Frank.Steimle@informatik.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Factories have to adapt permanently to changing situations in order to stay
      competitive. Premise to achieve this objective is up-to-date information on all
      levels of a factory and during the product life cycle, so that men and machine
      can optimize their activities according to their tasks. One approach to
      implement this economically is the massive application of sensors and
      information and communication technologies (ICT) leading to a Smart Factory.
      This process and related applications are summarized under the term of the
      forth industrial revolution (Industrie 4.0). It demands a flexible and
      easy-to-use integration of assets on the shop floor with ICT systems. The
      contribution of this paper is the MIALinx system that enables all these steps.
      The steps range from the integration to the sensing and analyzing of the sensor
      data to the execution of required actions. Furthermore, MIALinx provides an
      abstract rule based approach for users to model the behavior of the system. The
      presented system is based on concepts and technologies of the Internet of
      Things and service-oriented middleware. The main users targeted with our system
      are small and medium-sized enterprises that do not have the expertise or the
      investment possibilities to invest in completely new Industrie 4.0 systems but
      rather use their existing production assets and enrich them to achieve
      Industrie 4.0 capability.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-41&engl=1}
}

@inproceedings {INPROC-2017-40,
   author = {Eva Hoos and Pascal Hirmer and Bernhard Mitschang},
   title = {{Improving Problem Resolving on the Shop Floor by Context-Aware Decision Information Packages}},
   booktitle = {Proceedings of the CAiSE 2017 Forum},
   editor = {Xavier Franch and Jolita Ralyt{\'e}},
   address = {Essen},
   publisher = {CEUR Workshop Proceedings},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {121--128},
   type = {Workshop Paper},
   month = {June},
   year = {2017},
   keywords = {Industry 4.0; Context-Awareness; Engineering},
   language = {English},
   cr-category = {J.1 Administration Data Processing},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-40&engl=1}
}

@inproceedings {INPROC-2017-38,
   author = {Christian Weber and Jan K{\"o}nigsberger and Laura Kassner and Bernhard Mitschang},
   title = {{M2DDM – A Maturity Model for Data-Driven Manufacturing}},
   booktitle = {Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems (CIRP CMS); Taichung, Taiwan, May 3-5, 2017},
   editor = {Mitchell M. Tseng and Hung-Yin Tsai and Yue Wang},
   publisher = {Elsevier},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {Procedia CIRP},
   volume = {63},
   pages = {173--178},
   type = {Conference Paper},
   month = {July},
   year = {2017},
   doi = {https://doi.org/10.1016/j.procir.2017.03.309},
   issn = {2212-8271},
   keywords = {Maturity Model; Industrie 4.0; Industrial Internet; Reference Architectures; Digital Twin; Edge Analytics},
   language = {English},
   cr-category = {H.1.0 Information Systems Models and Principles General,
                   H.4.0 Information Systems Applications General},
   ee = {http://www.sciencedirect.com/science/article/pii/S2212827117304973},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-38&engl=1}
}

@inproceedings {INPROC-2017-32,
   author = {Christoph Stach and Frank D{\"u}rr and Kai Mindermann and Saravana Murthy Palanisamy and Muhammad Adnan Tariq and Bernhard Mitschang and Stefan Wagner},
   title = {{PATRON - Datenschutz in Datenstromverarbeitungssystemen}},
   booktitle = {Informatik 2017: Digitale Kulturen, Tagungsband der 47. Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. (GI), 25.09. - 29.09.2017, Technische Universit{\"a}t Chemnitz},
   publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {LNI},
   pages = {1--12},
   type = {Workshop Paper},
   month = {September},
   year = {2017},
   keywords = {Datenschutz; Zugriffskontrolle; Datenstr{\"o}me; Internet der Dinge; Privatheit; Sensoren},
   language = {German},
   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 = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Software Technology, Software Engineering;
                  University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems},
   abstract = {Angetrieben durch die stetig voranschreitende Digitalisierung gewinnt das
      Internet der Dinge (engl. IoT) immer mehr an Bedeutung. Im IoT werden
      technische Ger{\"a}te mit unterschiedlichen Sensoren ausgestattet und miteinander
      vernetzt. Dadurch werden neuartige Anwendungen beispielsweise im Bereich
      E-Health erm{\"o}glicht, in denen Sensordaten miteinander kombiniert und so in
      h{\"o}herwertige Informationen umgewandelt werden. Die von diesen Anwendungen
      abgeleiteten Informationen verraten viel {\"u}ber den Nutzer und m{\"u}ssen daher
      besonders gesch{\"u}tzt werden. H{\"a}ufig hat der Nutzer allerdings keine Kontrolle
      {\"u}ber die Verarbeitung seiner Daten, ganz davon zu schweigen, dass er das Ausma{\ss}
      und die Art der daraus ableitbaren Informationen nicht ermessen kann.
      
      In diesem Artikel stellen wir daher einen neuartigen Kontrollmechanismus vor,
      der private Informationen im IoT sch{\"u}tzt. Anstelle von abstrakten
      Datenschutzregeln f{\"u}r einzelne Sensoren definiert der Nutzer Muster, die es zu
      sch{\"u}tzen gilt. Ein Muster kann beispielsweise eine Kombination aus Messwerten
      sein, die auf eine bestimmte Krankheit schlie{\ss}en lassen. Der Nutzer definiert
      die zu verheimlichenden Informationen nat{\"u}rlichsprachlich, und ein
      Dom{\"a}nenexperte setzt diese in formale Regeln um. Sind diese Regeln zu
      restriktiv, so kann die Anwendung ihre angedachte Funktionalit{\"a}t nicht
      erbringen. Daher muss bez{\"u}glich der Servicequalit{\"a}t ein Kompromiss zwischen
      gew{\"u}nschter Privatheit und ben{\"o}tigter Funktionalit{\"a}t gefunden werden.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-32&engl=1}
}

@inproceedings {INPROC-2017-28,
   author = {Ana Cristina Franco da Silva and Uwe Breitenb{\"u}cher and Pascal Hirmer and K{\'a}lm{\'a}n K{\'e}pes and Oliver Kopp and Frank Leymann and Bernhard Mitschang and Ronald Steinke},
   title = {{Internet of Things Out of the Box: Using TOSCA for Automating the Deployment of IoT Environments}},
   booktitle = {Proceedings of the 7th International Conference on Cloud Computing and Services Science (CLOSER)},
   editor = {Donald Ferguson and V{\'\i}ctor M{\'e}ndez Mu{\~n}oz and Jorge Cardoso and Markus Helfert and Claus Pahl},
   publisher = {SciTePress Digital Library},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {ScitePress},
   volume = {1},
   pages = {358--367},
   type = {Conference Paper},
   month = {June},
   year = {2017},
   isbn = {978-989-758-243-1},
   doi = {10.5220/0006243303580367},
   keywords = {Internet of Things; TOSCA; Application Deployment; Device Software},
   language = {English},
   cr-category = {K.6 Management of Computing and Information Systems,
                   D.2.12 Software Engineering Interoperability},
   ee = {http://scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=AuNrRtS4cNc=&t=1},
   contact = {franco-da-silva@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Architecture of Application Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-28&engl=1}
}

@inproceedings {INPROC-2017-27,
   author = {C. Timurhan Sungur and Uwe Breitenb{\"u}cher and Oliver Kopp and Frank Leymann and Andreas Wei{\ss}},
   title = {{Identifying Relevant Resources and Relevant Capabilities of Informal Processes}},
   booktitle = {Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS 2017)},
   publisher = {SciTePress},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {295--307},
   type = {Conference Paper},
   month = {April},
   year = {2017},
   keywords = {Informal Processes; Unstructured Processes; Resource Discovery; Capability Discovery; Relevant Resources; Relevant Capabilities},
   language = {English},
   cr-category = {H.4.1 Office Automation,
                   H.3.3 Information Search and Retrieval,
                   H.3.4 Information Storage and Retrieval Systems and Software,
                   H.5.3 Group and Organization Interfaces},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Architecture of Application Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-27&engl=1}
}

@inproceedings {INPROC-2017-26,
   author = {Corinna Giebler and Christoph Stach},
   title = {{Datenschutzmechanismen f{\"u}r Gesundheitsspiele am Beispiel von Secure Candy Castle}},
   booktitle = {Tagungsband der 15. GI-Fachtagung Datenbanksysteme f{\"u}r Business, Technologie und Web},
   editor = {Bernhard Mitschang and Daniela Nicklas and Frank Leymann and Harald Sch{\"o}ning and Melanie Herschel and Jens Teubner and Theo H{\"a}rder and Oliver Kopp and Matthias Wieland},
   publisher = {GI},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {Lecture Notes in Informatics (LNI)},
   volume = {265},
   pages = {311--320},
   type = {Conference Paper},
   month = {March},
   year = {2017},
   isbn = {978-3-88579-659-6},
   keywords = {mHealth-Apps; Datensicherheit; Datenschutz; Datenintegration; Interoperabilit{\"a}t},
   language = {German},
   cr-category = {J.3 Life and Medical Sciences,
                   K.4.1 Computers and Society Public Policy Issues},
   ee = {http://btw2017.informatik.uni-stuttgart.de/?pageId=Proceedings&language=de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Smartphones sind mittlerweile ein fester Bestandteil des modernen Lebens. Sie
      erzeugen, speichern und verarbeiten eine Vielzahl an privaten Daten. Auch im
      Gesundheitssektor werden sie zunehmend eingesetzt; die dabei entstehenden Daten
      sind besonders sch{\"u}tzenswert. In dieser Arbeit werden daher Konzepte
      eingef{\"u}hrt, die Nutzern die Kontrolle {\"u}ber ihre Gesundheitsdaten geben. Zu
      diesem Zweck wird Secure Candy Castle, ein Spiel f{\"u}r Kinder mit einer
      Diabeteserkrankung, das mit einem Berechtigungsmanagementsystem verbunden ist,
      vorgestellt. Der Nutzer kann den Funktionsumfang des Spiels einschr{\"a}nken,
      wodurch die App weniger Berechtigungen erh{\"a}lt. Zus{\"a}tzlich werden f{\"u}r SCC
      Komponenten entwickelt, die die Interoperabilit{\"a}t von Smartphones mit
      medizinischen Messger{\"a}ten verbessert. Die Evaluation zeigt, dass mit SCC alle
      aktuellen Probleme von Gesundheits-Apps adressiert werden. Die Konzepte sind
      generisch und lassen sich auf beliebige andere Gesundheits-Apps anwenden.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-26&engl=1}
}

@inproceedings {INPROC-2017-25,
   author = {Karoline Saatkamp and Uwe Breitenb{\"u}cher and Oliver Kopp and Frank Leymann},
   title = {{Topology Splitting and Matching for Multi-Cloud Deployments}},
   booktitle = {Proceedings of the 7th International Conference on Cloud Computing and Services Science (CLOSER 2017)},
   publisher = {SciTePress},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {247--258},
   type = {Conference Paper},
   month = {April},
   year = {2017},
   isbn = {978-989-758-243-1},
   keywords = {Application Deployment; Distribution; Splitting; Cloud Computing; TOSCA},
   language = {English},
   cr-category = {G.0 Mathematics of Computing General,
                   H.0 Information Systems General},
   ee = {http://closer.scitevents.org},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Architecture of Application Systems},
   abstract = {For automating the deployment of applications in cloud environments, a variety
      of deployment automation technologies have been developed in recent years.
      These technologies enable specifying the desired deployment in the form of
      deployment models, which can be automatically executed. However, changing
      internal or external conditions often lead to strategical decisions that must
      be reflected in all deployment models of a company’s IT. Unfortunately, while
      creating such deployment models is difficult, adapting them is even harder as
      typically a variety of technologies must be replaced. In this paper, we present
      the Split and Match Method that enables splitting a deployment model following
      a manually specified distribution on the business layer. The method also
      enables automatically deploying the resulting model without the need for a
      manual intervention and, thus, significantly eases reflecting strategical
      decisions on the technical deployment layer. We present a formalization and
      algorithms to automate the steps of the method. Moreover, we validate the
      practical feasibility of the presented concepts by a prototype based on the
      TOSCA standard and the OpenTOSCA ecosystem.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-25&engl=1}
}

@inproceedings {INPROC-2017-21,
   author = {Tim Waizenegger and Frank Wagner and Cataldo Mega},
   title = {{SDOS: Using Trusted Platform Modules for Secure Cryptographic Deletion in the Swift Object Store}},
   booktitle = {Proc. 20th International Conference on Extending Database Technology (EDBT), March 21-24, 2017 - Venice, Italy},
   publisher = {OpenProceedings.org},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {550--553},
   type = {Demonstration},
   month = {January},
   year = {2017},
   isbn = {978-3-89318-073-8},
   keywords = {secure data deletion; cryptographic deletion; data erasure; records management; retention management; key management; data shredding; trusted platform module; TPM},
   language = {German},
   cr-category = {E.3 Data Encryption},
   ee = {http://openproceedings.org/2017/conf/edbt/paper-408.pdf},
   contact = {tim.waizenegger@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-21&engl=1}
}

@inproceedings {INPROC-2017-20,
   author = {Tim Waizenegger},
   title = {{Secure Cryptographic Deletion in the Swift Object Store}},
   booktitle = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs Datenbanken und Informationssysteme (DBIS), 6.-10. M{\"a}rz 2017, Stuttgart, Germany, Proceedings},
   publisher = {GI},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {625--628},
   type = {Conference Paper},
   month = {January},
   year = {2017},
   isbn = {978-3-88579-659-6},
   language = {English},
   cr-category = {E.3 Data Encryption},
   ee = {http://btw2017.informatik.uni-stuttgart.de/slidesandpapers/I-18-29/paper_web.pdf},
   contact = {tim.waizenegger@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-20&engl=1}
}

@inproceedings {INPROC-2017-19,
   author = {Tim Waizenegger},
   title = {{BTW 2017 Data Science Challenge (SDSC17)}},
   booktitle = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs Datenbanken und Informationssysteme (DBIS), 6.-10. M{\"a}rz 2017, Stuttgart, Germany, Workshopband},
   publisher = {GI},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {405--406},
   type = {Conference Paper},
   month = {January},
   year = {2017},
   isbn = {978-3-88579-660-2},
   language = {German},
   cr-category = {A.0 General Literature, General},
   ee = {http://dblp.uni-trier.de/rec/bib/conf/btw/Waizenegger17a,
      https://www.gi.de/service/publikationen/lni/gi-edition-proceedings-2017/gi-edition-lecture-notes-in-informatics-lni-p-266.html},
   contact = {tim.waizenegger@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Im Rahmen der Data Science Challenge haben Studierende und Doktoranden die
      M{\"o}glichkeit, einen eigenen Ansatz zur Cloud-basierten Datenanalyse zu
      entwickeln und damit gegen andere Teilnehmer anzutreten. Auf der BTW2017 in
      Stuttgart pr{\"a}sentieren die Teilnehmer Ihre Ergebnisse die von einer Fachjury
      aus Forschung und Industrie bewertet werden. Die Gewinner, sowie die
      N{\"a}chstplatzierten, werden mit einem Preisgeld honoriert.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-19&engl=1}
}

@inproceedings {INPROC-2017-18,
   author = {Cornelia Kiefer},
   title = {{Die Gratwanderung zwischen qualitativ hochwertigen und einfach zu erstellenden dom{\"a}nenspezifischen Textanalysen}},
   booktitle = {GI-Edition Lecture Notes in Informatics Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017) Workshopband},
   editor = {B. Mitschang et al.},
   address = {Bonn},
   publisher = {Gesellschaft f{\"u}r Informatik},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {99--104},
   type = {Workshop Paper},
   month = {March},
   year = {2017},
   keywords = {Textanalyse, Datenqualit{\"a}t, Analysequalit{\"a}t, {\"u}berwachte maschinelle Lernverfahren, Textanalyse in den Geisteswissenschaften},
   language = {German},
   cr-category = {H.3 Information Storage and Retrieval},
   ee = {http://btw2017.informatik.uni-stuttgart.de/pro/P-266-BTW2017-Workshopband.pdf,
      http://btw2017.informatik.uni-stuttgart.de/slidesandpapers/E1-12/paper_web.pdf},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Die Textanalyse ist zu einem entscheidenden Werkzeug in verschiedenen Dom{\"a}nen
      wie den Geisteswissenschaften, Naturwissenschaften sowie auch in der Industrie
      geworden. Eine der gr{\"o}{\ss}ten Herausforderungen bei dom{\"a}nenspezifischen
      Textanalyseprojekten besteht darin, das Wissen aus den Bereichen IT und Text
      Mining mit dem Wissen aus der Dom{\"a}ne zusammenzubringen. Viele
      Textanalysetoolkits werden deshalb speziell f{\"u}r den Gebrauch durch
      Dom{\"a}nenexperten ohne oder mit wenig IT und Textanalysewissen vereinfacht. In
      diesem Beitrag diskutieren wir, inwiefern diese Vereinfachungen zu
      Qualit{\"a}tsproblemen bei der Analyse von unsauberen Daten f{\"u}hren k{\"o}nnen.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-18&engl=1}
}

@inproceedings {INPROC-2017-13,
   author = {Marc H{\"u}ffmeyer and Pascal Hirmer and Bernhard Mitschang and Ulf Schreier and Matthias Wieland},
   title = {{SitAC – A System for Situation-aware Access Control - Controlling Access to Sensor Data}},
   booktitle = {Proceedings of the 3rd International Conference on Information Systems Security and Privacy},
   editor = {Paolo Mori and Steven Furnell and Olivier Camp},
   address = {Porto, Portugal},
   publisher = {SciTePress},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {ScitePress},
   volume = {1},
   pages = {113--125},
   type = {Conference Paper},
   month = {March},
   year = {2017},
   isbn = {978-989-758-209-7},
   keywords = {Authorization; Attribute based Access Control; Situation-awareness; REST; Internet of Things},
   language = {English},
   cr-category = {J.6 Computer-Aided Engineering,
                   H.3.1 Content Analysis and Indexing},
   ee = {http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=PZW1ep7OUUk%3d&t=1},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-13&engl=1}
}

@inproceedings {INPROC-2017-12,
   author = {Christian Endres and Uwe Breitenb{\"u}cher and Michael Falkenthal and Oliver Kopp and Frank Leymann and Johannes Wettinger},
   title = {{Declarative vs. Imperative: Two Modeling Patterns for the Automated Deployment of Applications}},
   booktitle = {Proceedings of the 9th International Conference on Pervasive Patterns and Applications (PATTERNS)},
   publisher = {Xpert Publishing Services},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {22--27},
   type = {Conference Paper},
   month = {February},
   year = {2017},
   isbn = {978-1-61208-534-0},
   keywords = {Modeling Patterns; Application Deployment and Management; Automation; Cloud Computing},
   language = {English},
   cr-category = {C.0 Computer Systems Organization, General,
                   D.2.9 Software Engineering Management,
                   D.2.13 Software Engineering Reusable Software},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Architecture of Application Systems},
   abstract = {In the field of cloud computing, the automated deployment of applications is of
      vital importance and supported by diverse management technologies. However,
      currently there is no systematic knowledge collection that points out
      commonalities, capabilities, and differences of these approaches. This paper
      aims at identifying common modeling principles employed by technologies to
      create automatically executable models that describe the deployment of
      applications. We discuss two fundamental approaches for modeling the automated
      deployment of applications: imperative procedural models and declarative
      models. For these two approaches, we identified (i) basic pattern primitives
      and (ii) documented these approaches as patterns that point out frequently
      occurring problems in certain contexts including proven modeling solutions. The
      introduced patterns foster the understanding of common application deployment
      concepts, are validated regarding their occurrence in established
      state-of-the-art technologies, and enable the transfer of that knowledge.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-12&engl=1}
}

@inproceedings {INPROC-2017-11,
   author = {Pascal Hirmer},
   title = {{Effizienz-Optimierung daten-intensiver Data Mashups am Beispiel von Map-Reduce}},
   booktitle = {Proceedings der Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW}, 17. Fachtagung des GI-Fachbereichs, Workshopband},
   editor = {Bernhard Mitschang and Norbert Ritter and Holger Schwarz and Meike Klettke and Andreas Thor and Oliver Kopp and Matthias Wieland},
   address = {Stuttgart},
   publisher = {Gesellschaft f{\"u}r Informatik (GI)},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {LNI},
   volume = {P-266},
   pages = {111--116},
   type = {Conference Paper},
   month = {March},
   year = {2017},
   isbn = {978-3-88579-660-2},
   keywords = {Data Mashups; Map-Reduce; Big Data; Effizienzoptimierung},
   language = {German},
   cr-category = {E.0 Data General,
                   H.2 Database Management,
                   H.3 Information Storage and Retrieval,
                   H.4 Information Systems Applications},
   ee = {http://btw2017.informatik.uni-stuttgart.de/slidesandpapers/E1-14/paper_web.pdf},
   contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Data Mashup-Ans{\"a}tze und -Tools bieten einen einfachen und schnellen Weg, um
      Daten zu verarbeiten und zu analysieren. {\"U}ber eine grafische Oberfl{\"a}che k{\"o}nnen
      dabei -- in der Regel grafisch -- Datenquellen und Datenoperationen sowie der
      Datenfluss einfach modelliert werden. Hierdurch ergeben sich vor allem Vorteile
      durch einfache Bedienbarkeit durch Dom{\"a}nennutzer sowie einer explorativen
      Vorgehensweise. Jedoch legen vorhandene Data Mashup-Ans{\"a}tze und -Tools wenig
      Wert auf die Effizienz der Ausf{\"u}hrung, was dadurch begr{\"u}ndet wird, dass durch
      Data Mashups in der Regel kleine Datenmengen verarbeitet werden. Zu Zeiten von
      Big Data gilt dies jedoch nicht mehr; schon scheinbar kleine Szenarien
      enthalten oftmals eine Vielzahl an Daten. Um mit diesem Problem zuk{\"u}nftig
      umzugehen, stellen wir in diesem Paper eine Konzeptidee am Beispiel von
      Map-Reduce vor, mit der die Ausf{\"u}hrung von Data Mashups bzgl. Effizienz
      optimiert werden kann.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-11&engl=1}
}

@inproceedings {INPROC-2017-06,
   author = {Andreas Bader and Oliver Kopp and Michael Falkenthal},
   title = {{Survey and Comparison of Open Source Time Series Databases}},
   booktitle = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW2017) -- Workshopband},
   editor = {Bernhard Mitschang and Norbert Ritter and Holger Schwarz and Meike Klettke and Andreas Thor and Oliver Kopp and Matthieas Wieland},
   publisher = {K{\"o}llen Druck+Verlag GmbH},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {Lecture Notes in Informatics (LNI)},
   volume = {P-266},
   pages = {249--268},
   type = {Workshop Paper},
   month = {March},
   year = {2017},
   isbn = {978-3-88579-660-2},
   issn = {1617-5468},
   language = {English},
   cr-category = {H.2.4 Database Management Systems,
                   H.3.4 Information Storage and Retrieval Systems and Software,
                   C.2.4 Distributed Systems},
   ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2017-06/INPROC-2017-06.pdf,
      http://btw2017.informatik.uni-stuttgart.de/},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-06&engl=1}
}

@inproceedings {INPROC-2017-05,
   author = {Laura Kassner and Pascal Hirmer and Matthias Wieland and Frank Steimle and Jan K{\"o}nigsberger and Bernhard Mitschang},
   title = {{The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation}},
   booktitle = {Proceedings of the 50th Hawaii International Conference on System Sciences},
   publisher = {Online},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   pages = {1--10},
   type = {Conference Paper},
   month = {January},
   year = {2017},
   isbn = {978-0-9981331-0-2},
   keywords = {decision support; internet of things; smart manufacturing; social media; text analytics},
   language = {English},
   cr-category = {E.0 Data General,
                   H.2 Database Management,
                   H.3 Information Storage and Retrieval,
                   H.4 Information Systems Applications},
   ee = {http://hdl.handle.net/10125/41355},
   contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Manufacturing environments are socio-technical systems $\backslash$ where people have to
      interact with machines to achieve $\backslash$ a common goal. The goal of the fourth
      industrial revolution is $\backslash$ to improve their flexibility for mass customization
      and rapidly $\backslash$ changing production conditions. As a contribution towards $\backslash$ this
      goal, we introduce the Social Factory: a social network $\backslash$ with a powerful
      analytics backend to improve the connection $\backslash$ between the persons working in
      the production environment, $\backslash$ the manufacturing machines, and the data that is
      created $\backslash$ in the process. We represent machines, people and chatbots $\backslash$ for
      information provisioning as abstract users in the social $\backslash$ network. We enable
      natural language based communication between $\backslash$ them and provide a rich
      knowledge base and automated $\backslash$ problem solution suggestions. Access to complex
      production $\backslash$ environments thus becomes intuitive, cooperation among users $\backslash$
      improves and problems are resolved more easily.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-05&engl=1}
}

@inproceedings {INPROC-2017-04,
   author = {Matthias Wieland and Pascal Hirmer and Frank Steimle and Christoph Gr{\"o}ger and Bernhard Mitschang and Eike Rehder and Dominik Lucke and Omar Abdul Rahman and Thomas Bauernhansl},
   title = {{Towards a Rule-Based Manufacturing Integration Assistant}},
   booktitle = {Proceedings of the 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016); Stuttgart, Germany, May 25-27, 2016},
   editor = {Engelbert Westk{\"a}mper and Thomas Bauernhansl},
   publisher = {Elsevier},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {Procedia CIRP},
   volume = {57},
   pages = {213--218},
   type = {Conference Paper},
   month = {January},
   year = {2017},
   doi = {10.1016/j.procir.2016.11.037},
   keywords = {Rules; Integration; Manufacturing; Smart-Factory; Industrie 4.0},
   language = {English},
   cr-category = {H.4.0 Information Systems Applications General,
                   J.2 Physical Sciences and Engineering,
                   I.2.1 Applications and Expert Systems,
                   I.2.4 Knowledge Representation Formalisms and Methods},
   ee = {http://www.sciencedirect.com/science/article/pii/S221282711631191X},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Recent developments and steadily declining prices in ICT enable an economic
      application of advanced digital tools in wide areas of manufacturing. Solutions
      based on concepts and technologies of the Internet of Thingsť or Cyber Physical
      Systems can be used to implement monitoring as well as self-organization of
      production, maintenance or logistics processes. However, integration of new
      digital tools in existing heterogeneous manufacturing IT systems and
      integration of machines and devices into manufacturing environments is an
      expensive and tedious task. Therefore, integration issues on IT and
      manufacturing level significantly prevent agile manufacturing. Especially small
      and medium-sized enterprises do not have the expertise or the investment
      possibilities to realize such an integration. To tackle this issue, we present
      the approach of the Manufacturing Integration Assistant - MIALinx. The
      objective is to develop and implement a lightweight and easy-to-use integration
      solution for small and medium-sized enterprises based on recent web automation
      technologies. MIALinx aims to simplify the integration using simple
      programmable, flexible and reusable IF-THEN rules that connect occurring
      situations in manufacturing, such as a machine break down, with corresponding
      actions, e.g., an automatic maintenance order generation. For this purpose,
      MIALinx connects sensors and actuators based on defined rules whereas the rule
      set is defined in a domain-specific, easy-to-use manner to enable rule modeling
      by domain experts. Through the definition of rule sets, the workers{\^a}€™
      knowledge can be also externalized. Using manufacturing-approved cloud
      computing technologies, we enable robustness, security, and a low-effort,
      low-cost integration of MIALinx into existing manufacturing environments to
      provide advanced digital tools also for small and medium-sized enterprises.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-04&engl=1}
}

@article {ART-2017-10,
   author = {Ana Cristina Franco da Silva and Pascal Hirmer and Uwe Breitenb{\"u}cher and Oliver Kopp and Bernhard Mitschang},
   title = {{Customization and provisioning of complex event processing using TOSCA}},
   journal = {Computer Science - Research and Development},
   publisher = {Springer Berlin Heidelberg},
   pages = {1--11},
   type = {Article in Journal},
   month = {September},
   year = {2017},
   issn = {1865-2042},
   issn = {1865-2034},
   doi = {10.1007/s00450-017-0386-z},
   keywords = {Internet of Things; Complex event processing; Customization; TOSCA},
   language = {English},
   cr-category = {K.6 Management of Computing and Information Systems,
                   D.2.12 Software Engineering Interoperability},
   ee = {https://link.springer.com/article/10.1007/s00450-017-0386-z},
   contact = {Ana-Cristina.Franco-da-Silva@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Architecture of Application Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-10&engl=1}
}

@article {ART-2017-09,
   author = {Pascal Hirmer and Michael Behringer and Bernhard Mitschang},
   title = {{Partial execution of Mashup Plans during modeling time}},
   journal = {Computer Science - Research and Development},
   publisher = {Springer Berlin Heidelberg},
   pages = {1--12},
   type = {Article in Journal},
   month = {September},
   year = {2017},
   issn = {1865-2034},
   issn = {1865-2042},
   doi = {10.1007/s00450-017-0388-x},
   keywords = {Workflows; Modeling; BPEL; Partial execution; Data Mashups},
   language = {English},
   cr-category = {H.2.8 Database Applications,
                   H.3.0 Information Storage and Retrieval General,
                   E.1 Data Structures},
   ee = {https://link.springer.com/article/10.1007%2Fs00450-017-0388-x},
   contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-09&engl=1}
}

@article {ART-2017-07,
   author = {Christian Weber and Jan K{\"o}nigsberger},
   title = {{Industrie 4.0: Aktuelle Entwicklungen f{\"u}r Analytics - Teil 2: Vergleich und Bewertung von Industrie 4.0-Referenzarchitekturen}},
   journal = {wt Werkstattstechnik online},
   publisher = {Springer-VDI-Verlag},
   volume = {107},
   number = {6},
   pages = {405--409},
   type = {Article in Journal},
   month = {June},
   year = {2017},
   keywords = {IT Architecture; Analytics; Edge Analytics; Big Data; Smart Manufacturing; Industrie 4.0; Industrial Internet},
   language = {German},
   cr-category = {H.4.0 Information Systems Applications General,
                   J.2 Physical Sciences and Engineering,
                   J.6 Computer-Aided Engineering},
   ee = {http://www.werkstattstechnik.de/wt/currentarticle.php?data[article_id]=87256},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Die Verarbeitung gro{\ss}er Datenmengen sowie die Erkenntnis, dass Datenanalysen
      eine hohe Relevanz haben, sind in den produzierenden Unternehmen angekommen.
      Bekannte Anwendungsbeispiele sind Digital Mock-Up in der Produktentwicklung
      oder Prozessoptimierung durch Predictive Maintenance. Die in letzter Zeit
      entwickelten Referenzarchitekturen in diesen breitgef{\"a}cherten Themenfeldern
      betrachten dementsprechend verschiedene Aspekte in unterschiedlichen
      Auspr{\"a}gungen. Dieser aus zwei Teilen bestehende Beitrag rekapituliert und
      bewertet diese Entwicklungen, um Unternehmen bei der Umsetzung ihrer eigenen
      individuellen Architektur Hilfestellung zu geben. Im ersten Teil des Beitrags
      (Ausgabe 3-2017: wt Werkstattstechnik online) wurden aktuelle
      Referenzarchitekturen mit ihren Architekturbausteinen im Bereich Industrie 4.0
      vorgestellt. In diesem zweiten Teil werden nun die Referenzarchitekturen unter
      dem Gesichtspunkt der Themenfelder Analytics sowie Datenmanagement untersucht
      und bewertet.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-07&engl=1}
}

@article {ART-2017-02,
   author = {Christian Weber and Jan K{\"o}nigsberger},
   title = {{Industrie 4.0: Aktuelle Entwicklungen f{\"u}r Analytics - Teil 1: Analytics und Datenmanagement in Industrie 4.0-Referenzarchitekturen}},
   journal = {wt Werkstattstechnik online},
   address = {D{\"u}sseldorf},
   publisher = {Springer-VDI-Verlag},
   volume = {107},
   number = {3},
   pages = {113--117},
   type = {Article in Journal},
   month = {March},
   year = {2017},
   keywords = {IT Architecture; Analytics; Edge Analytics; Big Data; Smart Manufacturing; Industrie 4.0; Industrial Internet},
   language = {German},
   cr-category = {H.4.0 Information Systems Applications General,
                   J.2 Physical Sciences and Engineering,
                   J.6 Computer-Aided Engineering},
   ee = {http://www.werkstattstechnik.de/wt/currentarticle.php?data[article_id]=87256},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {Die Verarbeitung gro{\ss}er Datenmengen sowie die hohe Relevanz von Datenanalysen
      sind in den produzierenden Unternehmen mittlerweile angekommen. Bekannte
      Anwendungsbeispiele sind Digital Mock-Up in der Produktentwicklung oder
      Prozessoptimierung durch Predictive Maintenance. Die in letzter Zeit
      entwickelten Referenzarchitekturen in diesen breitgef{\"a}cherten Themenfeldern
      betrachten dementsprechend verschiedene Aspekte in unterschiedlichen
      Auspr{\"a}gungen. Dieser aus zwei Teilen bestehende Fachbeitrag rekapituliert und
      bewertet diese Entwicklungen, um Unternehmen bei der Umsetzung ihrer eigenen
      individuellen Architektur Hilfestellung zu geben. Im Teil 1 werden aktuelle
      Referenzarchitekturen mit ihren Architekturbausteinen im Bereich Industrie 4.0
      vorgestellt. Im zweiten Teil (Ausgabe 6-2017 der wt Werkstattstechnik online)
      werden die Referenzarchitekturen unter dem Gesichtspunkt der Themenfelder
      Analytics sowie Datenmanagement untersucht und bewertet.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-02&engl=1}
}

@inbook {INBOOK-2017-04,
   author = {Laura Kassner and Christoph Gr{\"o}ger and Jan K{\"o}nigsberger and Eva Hoos and Cornelia Kiefer and Christian Weber and Stefan Silcher and Bernhard Mitschang},
   title = {{The Stuttgart IT Architecture for Manufacturing}},
   series = {Enterprise Information Systems: 18th International Conference, ICEIS 2016, Rome, Italy, April 25--28, 2016, Revised Selected Papers},
   publisher = {Springer International Publishing},
   series = {Lecture Notes in Business Information Processing},
   volume = {291},
   pages = {53--80},
   type = {Article in Book},
   month = {June},
   year = {2017},
   isbn = {978-3-319-62386-3},
   doi = {10.1007/978-3-319-62386-3_3},
   language = {English},
   cr-category = {H.4.0 Information Systems Applications General,
                   D.2.12 Software Engineering Interoperability,
                   J.2 Physical Sciences and Engineering},
   ee = {https://link.springer.com/chapter/10.1007/978-3-319-62386-3_3},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {The global conditions for manufacturing are rapidly changing towards shorter
      product life cycles, more complexity and more turbulence. The manufacturing
      industry must meet the demands of this shifting environment and the increased
      global competition by ensuring high product quality, continuous improvement of
      processes and increasingly flexible organization. Technological developments
      towards smart manufacturing create big industrial data which needs to be
      leveraged for competitive advantages. We present a novel IT architecture for
      data-driven manufacturing, the Stuttgart IT Architecture for Manufacturing
      (SITAM). It addresses the weaknesses of traditional manufacturing IT by
      providing IT systems integration, holistic data analytics and mobile
      information provisioning. The SITAM surpasses competing reference architectures
      for smart manufacturing because it has a strong focus on analytics and mobile
      integration of human workers into the smart production environment and because
      it includes concrete recommendations for technologies to implement it, thus
      filling a granularity gap between conceptual and case-based architectures. To
      illustrate the benefits of the SITAM{\^a}€™s prototypical implementation, we
      present an application scenario for value-added services in the automotive
      industry.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-04&engl=1}
}

@inbook {INBOOK-2017-03,
   author = {Christoph Stach and Frank Steimle and Ana Cristina Franco da Silva},
   title = {{TIROL: The Extensible Interconnectivity Layer for mHealth Applications}},
   series = {Information and Software Technologies: 23nd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12-14, 2017, Proceedings},
   address = {Cham},
   publisher = {Springer International Publishing},
   series = {Communications in Computer and Information Science},
   pages = {1--12},
   type = {Article in Book},
   month = {October},
   year = {2017},
   keywords = {mHealth; medical devices; harmonization; interconnectivity layer},
   language = {English},
   cr-category = {K.4.1 Computers and Society Public Policy Issues,
                   J.3 Life and Medical Sciences},
   contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {The prevalence of various chronic conditions is on the rise. Periodic
      screenings and a persistent therapy are necessary in order to aid the patients.
      Increasing medical costs and overburdened physicians are the consequences. A
      telemedical self-management of the illness is considered as the answer to this
      problem. For this purpose mHealth applications, i.e., the synergy of common
      smartphones and medical metering devices, are vitally needed. However, poor
      device interoperability due to heterogeneous connectivity methods hamper the
      usage of such applications. For this very reason, we introduce the concept for
      an exTensible InteRcOnnectivity Layer (TIROL) to deal with the
      interconnectivity issues of mHealth applications. Furthermore, we present a
      prototypical implementation for TIROL to demonstrate the benefits of our
      approach.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-03&engl=1}
}

@inbook {INBOOK-2017-01,
   author = {Pascal Hirmer and Michael Behringer},
   title = {{FlexMash 2.0 – Flexible Modeling and Execution of Data Mashups}},
   series = {Rapid Mashup Development Tools - Second International Rapid Mashup Challenge, RMC 2016, Lugano, Switzerland, June 6, 2016, Revised Selected Papers},
   publisher = {Springer International Publishing},
   series = {Communications in Computer and Information Science},
   volume = {696},
   pages = {10--29},
   type = {Article in Book},
   month = {January},
   year = {2017},
   isbn = {978-3-319-53173-1},
   isbn = {978-3-319-53174-8},
   doi = {10.1007/978-3-319-53174-8},
   issn = {1865-0929},
   keywords = {ICWE Rapid Mashup Challenge 2016; FlexMash; Data processing and integration; Pipes and Filters},
   language = {English},
   cr-category = {H.2.8 Database Applications,
                   H.3.0 Information Storage and Retrieval General,
                   E.1 Data Structures},
   ee = {http://link.springer.com/chapter/10.1007/978-3-319-53174-8_2},
   contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
   abstract = {In recent years, the amount of data highly increases through cheap hardware,
      fast network technology, and the increasing digitization within most domains.
      The data produced is oftentimes heterogeneous, dynamic and originates from many
      highly distributed data sources. Deriving information and, as a consequence,
      knowledge from this data can lead to a higher effectiveness for problem solving
      and thus higher profits for companies. However, this is a great challenge {\^a}€“
      oftentimes referred to as Big Data problem. The data mashup tool FlexMash,
      developed at the University of Stuttgart, tackles this challenge by offering a
      means for integration and processing of heterogeneous, dynamic data sources. By
      doing so, FlexMash focuses on (i) an easy means to model data integration and
      processing scenarios by domain-experts based on the Pipes and Filters pattern,
      (ii) a flexible execution based on the user{\^a}€™s non-functional requirements,
      and (iii) high extensibility to enable a generic approach. A first version of
      this tool was presented during the ICWE Rapid Mashup Challenge 2015. In this
      article, we present the new version FlexMash 2.0, which introduces new features
      such as cloud-based execution and human interaction during runtime. These
      concepts have been presented during the ICWE Rapid Mashup Challenge 2016.},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-01&engl=1}
}

@proceedings {PROC-2017-06,
   editor = {Oliver Kopp and J{\"o}rg Lenhard and Cesare Pautasso},
   title = {{Proceedings of the 9th Central European Workshop on Services and their Composition (ZEUS 2017)}},
   publisher = {CEUR-WS.org},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {CEUR Workshop Proceedings},
   volume = {1826},
   pages = {92},
   type = {Proceedings},
   month = {May},
   year = {2017},
   language = {English},
   cr-category = {H.4.1 Office Automation},
   ee = {http://dblp.org/db/conf/zeus/zeus2017.html},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Parallel and Distributed Systems},
   abstract = {},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=PROC-2017-06&engl=1}
}

@proceedings {PROC-2017-05,
   editor = {Bernhard Mitschang and Norbert Ritter and Holger Schwarz and Meike Klettke and Andreas Thor and Oliver Kopp and Matthias Wieland},
   title = {{Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs ``Datenbanken und Informationssysteme'' (DBIS)}},
   publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {LNI},
   volume = {P266},
   pages = {410},
   type = {Proceedings},
   month = {March},
   year = {2017},
   isbn = {978-3-88579-660-2},
   language = {English},
   cr-category = {H.4.1 Office Automation},
   ee = {http://dblp.org/db/conf/btw/btw2017w.html},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Parallel and Distributed Systems},
   abstract = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017) -- Workshopband},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=PROC-2017-05&engl=1}
}

@proceedings {PROC-2017-04,
   editor = {Bernhard Mitschang and Daniela Nicklas and Frank Leymann and Harald Sch{\"o}ning and Melanie Herschel and Jens Teubner and Theo H{\"a}rder and Oliver Kopp and Matthias Wieland},
   title = {{Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs ``Datenbanken und Informationssysteme'' (DBIS)}},
   publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
   institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
   series = {LNI},
   volume = {P265},
   pages = {637},
   type = {Proceedings},
   month = {March},
   year = {2017},
   isbn = {978-3-88579-659-6},
   language = {English},
   cr-category = {H.4.1 Office Automation},
   ee = {http://dblp.org/db/conf/btw/btw2017.html},
   department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
                  University of Stuttgart, Institute of Parallel and Distributed Systems},
   abstract = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017)},
   url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=PROC-2017-04&engl=1}
}