@inproceedings {INPROC-2012-38, author = {Carlos L{\"u}bbe and Nazario Cipriani}, title = {{SimPl: A Simulation Platform for Elastic Load-Balancing in a Distributed Spatial Cache Overlay}}, booktitle = {Proc. of the 13th International Conference on Mobile Data Management (MDM).}, address = {Washington, DC, USA}, publisher = {IEEE Computer Society}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, pages = {0--4}, type = {Conference Paper}, month = {July}, year = {2012}, keywords = {load-balancing; simulation; spatial data; peer-to-peer}, language = {English}, cr-category = {H.2.4 Database Management Systems}, contact = {carlos.luebbe@ipvs.uni-stuttgart.de}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {Location-based services (LBS) have to cope with increasing query loads at their data tier. Yet, the data access patterns of LBS typically possess spatial locality. Therefore, a dedicated spatial cache which provides efficient access to the data currently needed may considerably reduce this load. To ensure high throughput throughout the entire execution, previous work introduced an elastic load-balancing mechanism for multiple cache nodes that collaborate in a distributed spatial cache overlay. However, calibrating such a load-balancing mechanism is a non-trivial task, as several parameters influence such a system. We demonstrate a simulation platform (SimPl) for elastic load-balancing. SimPl enables a network administrator to set up several overlay topologies and calibrate their system parameters using different spatial data access patterns. A live visualization of the simulated overlay enables intuitive comparison of overlay topologies and their load-balancing abilities.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-38&engl=1} } @inproceedings {INPROC-2012-37, author = {Carlos L{\"u}bbe and Anja Reuter and Bernhard Mitschang}, title = {{Elastic Load-Balancing in a Distributed Spatial Cache Overlay}}, booktitle = {Proc. of the 13th International Conference on Mobile Data Management (MDM)}, address = {Washington, DC, USA}, publisher = {IEEE Computer Society}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, pages = {0--10}, type = {Conference Paper}, month = {July}, year = {2012}, keywords = {load-balancing; caching; spatial data; peer-to-peer}, language = {German}, cr-category = {H.2.4 Database Management Systems}, contact = {carlos.luebbe@ipvs.uni-stuttgart.de}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {Location-based services (LBS) have gained enormous popularity, which imposes increasing query loads at the data tier of an LBS. Yet, the data access patterns of LBS typically possess high temporal and spatial locality. Therefore, a dedicated spatial cache which provides efficient access to the data currently needed may considerably reduce this load. To ensure high throughput, multiple cache nodes can collaborate in a distributed spatial cache overlay, which balances load among the nodes. However, load-balancing is a non-trivial task in this context, as load spreads unevenly in space and varies notably over time. This requires constant readjustment to shifting hot spots. We present an elastic load-balancing mechanism between cache nodes that is based on the physical model of a particle-spring system. Using spring contraction, nodes instantly form processing clusters in regions with high load and thus can easily work off accumulating queries. Our evaluation shows that our approach quickly adapts to rapidly changing hot spots and thereby ensures high throughput throughout the entire execution.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-37&engl=1} } @inproceedings {INPROC-2012-36, author = {Nazario Cipriani and Christoph Stach and Oliver D{\"o}rler and Bernhard Mitschang}, title = {{NexusDSS - A System for Security Compliant Processing of Data Streams}}, booktitle = {Proceedings of the First International Conference on Data Technologies and Applications (DATA 2012)}, publisher = {SciTePress Digital Library}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, pages = {1--11}, type = {Conference Paper}, month = {July}, year = {2012}, language = {English}, cr-category = {C.2.0 Computer-Communication Networks, General, K.6.5 Security and Protection, D.4.6 Operating Systems Security and Protection}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {Technological advances in microelectronic and communication technology are increasingly leading to a highly connected environment equipped with sensors producing a continuous flow of context data. The steadily growing number of sensory context data available enables new application scenarios and drives new processing techniques. The growing pervasion of everyday life with social media and the possibility of interconnecting them with moving objects{\^a}€™ traces, leads to a growing importance of access control for this kind of data since it concerns privacy issues. The challenge in twofold: First mechanisms to control data access and data usage must be established and second efficient and flexible processing of sensible data must be supported. In this paper we present a flexible and extensible security framework which provides mechanisms to enforce requirements for context data access and beyond that support safe processing of sensible context data according to predefined processing rules. In addition and in contrast to previous concepts, our security framework especially supports fine-grained control to contextual data.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-36&engl=1} } @inproceedings {INPROC-2012-31, author = {Christoph Gr{\"o}ger and Johannes Schlaudraff and Florian Niedermann and Bernhard Mitschang}, title = {{Warehousing Manufacturing Data. A Holistic Process Warehouse for Advanced Manufacturing Analytics}}, booktitle = {Proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery - DaWaK 2012}, editor = {Alfredo Cuzzocrea and Umeshwar Dayal}, address = {Berlin, Heidelberg}, publisher = {Springer}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, series = {Lecture Notes in Computer Science}, volume = {7448}, pages = {142--155}, type = {Conference Paper}, month = {September}, year = {2012}, keywords = {Data Warehouse; Manufacturing; Process Optimization; Analytics; Business Intelligence; Data Integration}, language = {English}, cr-category = {H.2.7 Database Administration, J.1 Administration Data Processing}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {Strong competition in the manufacturing industry makes efficient and effective manufacturing processes a critical success factor. However, existing warehousing and analytics approaches in manufacturing are coined by substantial shortcomings, significantly preventing comprehensive process improvement. Especially, they miss a holistic data base integrating operational and process data, e. g., from Manufacturing Execution and Enterprise Resource Planning systems. To address this challenge, we introduce the Manufacturing Warehouse, a concept for a holistic manufacturing-specific process warehouse as central part of the overall Advanced Manufacturing Analytics Platform. We define a manufacturing process meta model and deduce a universal warehouse model. In addition, we develop a procedure for its instantiation and the integration of concrete source data. Finally, we describe a first proof of concept based on a prototypical implementation.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-31&engl=1} } @inproceedings {INPROC-2012-28, author = {Stefan Silcher and Max Dinkelmann and Jorge Minguez and Bernhard Mitschang}, title = {{A Service-based Integration for an improved Product Lifecycle Management}}, booktitle = {Proceedings of the 14th International Conference on Enterprise Information Systems}, editor = {Alfredo Cuzzocrea and Jos{\'e} Cordeiro Leszek Maciaszek}, address = {Wroc\&\#322;aw, Poland}, publisher = {INSTICC Press}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, pages = {38--47}, type = {Conference Paper}, month = {June}, year = {2012}, isbn = {978-989-8565-10-5}, keywords = {Product Lifecycle Management; Service-oriented Architecture; Modular IT Integration}, language = {English}, cr-category = {D.2.11 Software Engineering Software Architectures, D.2.13 Software Engineering Reusable Software}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {The continuously changing environment is nowadays a major challenge for companies. The tough competition, growing customization of products and environmental regulations forces companies to continuously adapt their business processes. In order to manage the complexity and reduce the effort for developing products and production, many IT systems are indispensable. Despite Product Lifecycle Management Technology (PLM) the growing heterogeneous IT landscapes lack of a continuous support for business processes and get quickly unmanageable. In this paper PLM technology is extended by a service-based integration approach. Therefore, a modular service-based architecture was developed which will be presented in detail. The architecture describes how the whole product life cycle can be integrated more efficiently. The characteristics and findings of our approach are presented as well as a first prototype covering the production planning.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-28&engl=1} } @inproceedings {INPROC-2012-15, author = {Christoph Gr{\"o}ger and Florian Niedermann and Bernhard Mitschang}, title = {{Data Mining-driven Manufacturing Process Optimization}}, booktitle = {Proceedings of the World Congress on Engineering 2012 Vol III, WCE 2012, 4 – 6 July, 2012, London, U.K.}, editor = {S. I. Ao and L. Gelman and D. W. L. Hukins and A. Hunter and A. M. Korsunsky}, publisher = {Newswood}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, pages = {1475--1481}, type = {Conference Paper}, month = {July}, year = {2012}, isbn = {978-988-19252-2-0}, keywords = {Analytics; Data Mining; Decision Support; Process Optimization}, language = {English}, cr-category = {H.2.8 Database Applications, J.1 Administration Data Processing}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {High competitive pressure in the global manufacturing industry makes efficient, effective and continuously improved manufacturing processes a critical success factor. Yet, existing analytics in manufacturing, e. g., provided by Manufacturing Execution Systems, are coined by major shortcomings considerably limiting continuous process improvement. In particular, they do not make use of data mining to identify hidden patterns in manufacturing-related data. In this article, we present indication-based and pattern-based manufacturing process optimization as novel data mining approaches provided by the Advanced Manufacturing Analytics Platform. We demonstrate their usefulness through use cases and depict suitable data mining techniques as well as implementation details.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-15&engl=1} } @inproceedings {INPROC-2012-14, author = {Christoph Gr{\"o}ger and Florian Niedermann and Holger Schwarz and Bernhard Mitschang}, title = {{Supporting Manufacturing Design by Analytics. Continuous Collaborative Process Improvement enabled by the Advanced Manufacturing Analytics Platform}}, booktitle = {Proceedings of the 2012 16th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), May 23-25, 2012, Wuhan, China}, editor = {Liang Gao and Weiming Shen and Jean-Paul Barth{\`e}s and Junzhou Luo and Jianming Yong and Wenfeng Li and Weidong Li}, publisher = {IEEE}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, pages = {793--799}, type = {Conference Paper}, month = {May}, year = {2012}, isbn = {978-1-4673-1210-3}, keywords = {Analytics; Data Mining; Process Management; Manufacturing; Process Optimization}, language = {English}, cr-category = {H.2.8 Database Applications, J.1 Administration Data Processing}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {The manufacturing industry is faced with global competition making efficient, effective and continuously improved manufacturing processes a critical success factor. Yet, media discontinuities, the use of isolated analysis methods on local data sets as well as missing means for sharing analysis results cause a collaborative gap in Manufacturing Process Management that prohibits continuous process improvement. To address this chal-lenge, this paper proposes the Advanced Manufacturing Analytics (AdMA) Platform that bridges the gap by integrating operational and process manufacturing data, defining a reposito-ry for analysis results and providing indication-based and pat-tern-based optimization techniques. Both the conceptual architec-ture underlying the platform as well as its current implementa-tion are presented in this paper.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-14&engl=1} } @inproceedings {INPROC-2012-11, author = {Christoph Stach and Luiz Fernando Schlindwein}, title = {{Candy Castle - A Prototype for Pervasive Health Games}}, booktitle = {Proceedings of the 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops); Lugano, Switzerland, March 19-23, 2012}, publisher = {IEEE}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, pages = {1--4}, type = {Demonstration}, month = {March}, year = {2012}, keywords = {pervasive application; health game; health education; data analysis}, language = {English}, cr-category = {K.4 Computers and Society}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {Serious games have primarily the function to educate and train, and secondly to entertain. We present a serious game used for the treatment of diabetes and for teaching a diabetes-aware lifestyle. The game encourages the player to walk around in his / her surrounding and check the blood sugar level in as many different places as possible. Undoubtedly, the special feature of Candy Castle is our feedback loop which can be used for on-the-fly data analysis and automatic adaptation of the application. Thus, the patients as well as their doctors can be automatically alerted if their blood values deteriorate. In this demo paper, we explain both the design of the game as well as some interesting implementation aspects of our prototype. Even though we concern just on the topic of mobile games, all introduced techniques can be transferred to a general setting and used in any other mobile application.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-11&engl=1} } @article {ART-2012-24, author = {Christoph Stach}, title = {{Gamework – A Framework Approach for Customizable Pervasive Applications}}, journal = {International Journal of Computer Information Systems and Industrial Management Applications}, publisher = {MIR Labs}, volume = {4}, pages = {66--75}, type = {Article in Journal}, month = {July}, year = {2012}, issn = {2150-7988}, keywords = {Mobile Services; Pervasive Multi-player Games; Customizable Framework; Data Analysis and Improvement.}, language = {English}, cr-category = {D.3.3 Programming Language Constructs and Features, D.2.13 Software Engineering Reusable Software, K.8 Personal Computing}, 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 number of pervasive games is growing. In a pervasive game players have to interact with their environment in order to control their avatar. While in the past such a game required immense hardware equipment, nowadays, Smartphones have all required functionality built-in already. In addition, there is an upcoming trend towards software, supported with new content and knowledge by an active community. By combining these two trends, a new genre for computer games arises, targeting not only established gamers but also a new audience. In this paper we present a framework for pervasive games that support various customization techniques. Therefore, we divided the techniques into four classes depending on the player’s technical knowledge and scale of adaption potential. Further, we present two customizable pervasive games we have implemented using the framework. Concluding, we show the potential of these games as well as the potential of our framework. We also report on early experiences in exploiting the customization approach of our framework.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2012-24&engl=1} } @article {ART-2012-19, author = {Jorge Minguez and David Baureis and Donald Neumann}, title = {{A reference architecture for agile product-service systems}}, journal = {CIRP Journal of Manufacturing Science and Technology}, publisher = {Elsevier}, volume = {5}, number = {4}, pages = {319--327}, type = {Article in Journal}, month = {January}, year = {2012}, issn = {1755-5817}, doi = {10.1016/j.cirpj.2012.09.007}, keywords = {Service, Integration, Service-oriented architecture (SOA), Product-service system (PSS), Industrial product-service systems (IPS$<$sup$>$2$<$/sup$>$), Agility}, language = {English}, cr-category = {D.2.11 Software Engineering Software Architectures, D.2.13 Software Engineering Reusable Software}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {In times of globalization and saturated markets, manufacturing companies are forced to find new possibilities of differentiation against competitors. Product-service systems (PSS) are a strategic approach that offers this possibility by integrating goods and services. The implementation of a PSS entails challenges for the resulting supply chain structure and the IT infrastructure supporting coordinated service offerings, such as conflicting goals and coordination in the integrated business processes. The service-oriented architecture (SOA) paradigm, based on loosely coupled components, provides rapid reconfiguration of business processes, rapid integration of services and goal definition through service level agreements. This paper presents a reference architecture based on SOA to support coordination and definition of goals in heterogeneous supply chains.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2012-19&engl=1} } @article {ART-2012-12, author = {Nazario Cipriani and Oliver D{\"o}rler and Bernhard Mitschang}, title = {{Sicherer Zugriff und sichere Verarbeitung von Kontextdatenstr{\"o}men in einer verteilten Umgebung}}, journal = {Datenbank-Spektrum ``Data Streams and Event Processing''}, publisher = {dpunkt.verlag}, volume = {12}, number = {1}, pages = {13--22}, type = {Article in Journal}, month = {March}, year = {2012}, language = {German}, cr-category = {K.6.5 Security and Protection, D.4.6 Operating Systems Security and Protection}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {Technologischer Fortschritt im Bereich der Mikroelektronik und Kommunikationstechnik f{\"u}hren zunehmend zu einem stark vernetzten, mit Sensoren ausgestatteten Umfeld. Die damit einhergehende stetig steigende Anzahl an Sensorinformationen, deren Daten in Form von Datenstr{\"o}men bereitgestellt werden, erm{\"o}glichen neue Anwendungsszenarien und treiben neue Verarbeitungstechniken. Im Kontext der sichverst{\"a}rkenden Durchdringung des allt{\"a}glichen Lebens mit sozialen Medien und der gleichzeitigen Auswertung von beispielsweise Positionsinformationen, w{\"a}chst die Bedeutung der Zugriffskontrolle auf Information. Die Herausforderung in diesem Zusammenhang besteht darin, Mechanismen zur Verf{\"u}gung zu stellen, die eine Regelung des Datenzugriffs erm{\"o}glichen und die Datenstromverarbeitung effizient und flexibel unterst{\"u}tzen. Diese Arbeit stellt ein flexibles Rahmenwerk zur sicheren Verarbeitung von Kontextdaten vor, das es Anbietern von Daten in Datenstromverarbeitungssystemen erm{\"o}glicht, den Zugriff und die Verarbeitung sch{\"u}tzenswerter Daten zu kontrollieren. Hierbei erm{\"o}glicht das vorgestellte Konzept im Gegensatz zu bisherigen Konzepten insbesondere den feingranularen Zugriff auf Kontextdaten.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2012-12&engl=1} } @inbook {INBOOK-2012-01, author = {Stefan Silcher and Jorge Minguez and Bernhard Mitschang}, title = {{A Novel Approach to Product Lifecycle Management based on Service Hierarchies}}, series = {Recent Trends in Information Reuse and Integration}, address = {Vienna}, publisher = {Springer}, pages = {343--362}, type = {Article in Book}, month = {January}, year = {2012}, isbn = {978-3-7091-0738-6}, keywords = {Product Lifecycle Management; Service Oriented Architecture; Enterprise Service Bus}, language = {English}, cr-category = {D.2.11 Software Engineering Software Architectures, D.2.13 Software Engineering Reusable Software}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, abstract = {In grown IT infrastructures for Product Lifecycle Management (PLM), applications are mostly interconnected using point-to-point interfaces. This leads to complex and unmanageable infrastructures. A continuous and efficient integration is a key requirement for successful PLM implementations. The Service Oriented Architecture (SOA) is a prevalent solution to efficiently integrate legacy applications and systems into business processes. Its possibility for loose coupling of services enables the replacement of point-to-point interfaces, this way reducing the complexity of managing and maintaining the IT infrastructure. This article introduces a SOA-based solution to the integration of all PLM phases. We employ an Enterprise Service Bus (ESB) as service-based integration and communication infrastructure and introduce three exemplary scenarios to illustrate the benefits of using an ESB as compared to alternative PLM infrastructures. Furthermore, we describe a service hierarchy that extends PLM functionality with value-added services by mapping business processes to data integration services.}, url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2012-01&engl=1} }