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TU Berlin

Inhalt des Dokuments

IoT Applications

IoT systems are increasingly employed in a multitude of application domains like smart buildings, smart cities, Industry 4.0, smart grids, logistics & retail, (participatory) environmental sensing, smart agriculture, eHealth or connected traffic (Car2Car, Car2X). So far, however, most IoT applications have been rather isolated, serving a comparably small set of well-defined functionalities, and rolled out on a rather small to medium scale.

In order to facilitate large-scale and enterprise-ready IoT systems – and thus to unleash the full potential of the “Internet of Things” – challenges on the platform and application level are increasingly gaining importance. At ISE, we therefore build upon our strong competences in engineering and analyzing web-based and service-oriented application architectures, middleware platforms and cloud systems to tackle current and upcoming IoT challenges.

In particular, we investigate how qualities such as scalability, security, privacy, fault-tolerance and resilience of IoT systems can be achieved and how they influence each other. This includes research on database concepts specifically tailored to the particularities of IoT environments (e.g. Time-Series / NoSQL databases), on scalable messaging platforms, API design and API ecosystems and application-level protocols bringing together IoT concepts and web technologies (Pub/Sub- and REST-APIs for IoT etc.) and on access- and usage control mechanisms that explicitly address the challenges raised by the IoT in matters of complexity, distribution, data volume and number of entities. Furthermore, we investigate in new data placement strategies for IoT systems taking into account the perspectives of data production and data consumption at the same time. On this basis, establishing architectural IoT integration patterns that allow systems engineers to build highly scalable, secure and robust IoT platforms and applications within their domain is an explicit goal of our research.

Last but not least, we also explore the societal potential of IoT systems in matters of open data, participatory sensing, and innovation and business models (e.g. Sensor Mash-Ups, geo-spacial sensor applications) with opensense.network, the participatory open sensor data platform developed and maintained at our department.

Related Projects


K. Weber and N. Kleine and F. Pallas and M.-R. Ulbricht (2017). Technik zur Unterstützung von Citizen Science und Open Science. TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 25-30.

Link zur Publikation

J. Kuhlenkamp and M. Klems (2017). Costradamus: A Cost-Tracing System for Cloud-based Software Services. Proceedings of the 15th International Conference on Service Oriented Computing (ICSOC17). Springer.

Link zur Publikation

D. Bermbach and J. Eberhardt (2017). Audio-Visual Cues for Cloud Service Monitoring. Proceedings of the 7th International Conference on Cloud Computing and Services Science: CLOSER

Link zur Publikation

D. Bermbach and F. Pallas and D. García Pérez and P. Plebani and M. Anderson and R. Kat and S. Tai (2017). A Research Perspective on Fog Computing. 2nd Workshop on IoT Systems Provisioning & Management for Context-Aware Smart Cities (ISYCC)

Link zur Publikation

S. Werner and F. Pallas and D. Bermbach (2017). Designing Suitable Access Control for Web-Connected Smart Home Platforms. 13th International Workshop on Engineering Service-Oriented Applications and Cloud Services (WESOACS)

Link zur Publikation

Zusatzinformationen / Extras


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