TU Wien Informatics

SmartCT - Smart Communities and Technologies

The Research Cluster “Smart Communities and Technologies (SmartCT)” is an interdisciplinary effort towards creating the scientific underpinnings for designing, developing, and governing complex next-generation smart city and communities infrastructures. The research results of SmartCT can be seen as a collaborative effort of involved TU Wien research groups as well as dedicated personnel and part of an overall contribution of TU Wien to the Complexity Science Hub. Smart cities and communities infrastructures are an ever-evolving and interwoven fabric of complex (1) cyber-physical systems and (2) cyber-human systems of systems covering a magnitude of different areas. By holistically approaching the challenges of creating and operating such applications, we will create methodologies, frameworks, and software systems enabling an Internet of Cities, i.e., a global complex network of Smart Cities and their applications that securely and collaboratively work to improve the quality of life of their citizens, as well as improve cost and energy efficiency of city operation and infrastructure.

Research aims

The central focus is on creating the scientific underpinnings for a future Internet of Cities infrastructure. This must consist of a comprehensive set of methodologies, models, and tools for development, design, management, and evolution of next-generation smart city applications.

Project website

For further information visit project website: SmartCT - Smart Communities and Technologies

Publications (Distributed Systems Group)

  1. Alkhabbas, F., Murturi, I., Spalazzese, R., Davidsson, P., & Dustdar, S. (2020). A Goal-driven Approach for Deploying Self-adaptive IoT Systems. In IEEE International Conference on Software Architecture (ICSA 2020) (pp. 1–11). IEEE.
  2. Avasalcai, C., Murturi, I., & Dustdar, S. (2020). Edge and Fog: A Survey, Use Cases, and Future Challenges. Fog Computing: Theory and Practice.
  3. Pusztai, T. W., Tsigkanos, C., & Dustdar, S. (2019). Engineering Heterogeneous Internet of Things Applications: From Models to Code. In 2019 IEEE 5th International Conference on Collaboration and Internet Computing (CIC) (pp. 222–231). IEEE.
  4. Casadei, R., Tsigkanos, C., Viroli, M., & Dustdar, S. (2019). Engineering Resilient Collaborative Edge-Enabled IoT. In 2019 IEEE International Conference on Services Computing (SCC) (pp. 36–45). IEEE.
  5. Li, N., Tsigkanos, C., Jin, Z., Dustdar, S., Hu, Z., & Ghezzi, C. (2019). Poet: Privacy on the edge with bidirectional data transformations. In 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom (pp. 1–10). IEEE.
  6. Avasalcai, C., Tsigkanos, C., & Dustdar, S. (2019). Decentralized Resource Auctioning for Latency-Sensitive Edge Computing. In 2019 IEEE International Conference on Edge Computing (EDGE) (pp. 72–76). IEEE.
  7. Tsigkanos, C., Nenzi, L., Loreti, M., Garriga, M., Dustdar, S., & Ghezzi, C. (2019). Inferring analyzable models from trajectories of spatially-distributed internet of things. In 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) (pp. 100–106). IEEE.
  8. Tsigkanos, C., Nastic, S., & Dustdar, S. (2019). Towards resilient Internet of Things: Vision, challenges, and research roadmap. In 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) (pp. 1754–1764). IEEE.
  9. Avasalcai, C., Tsigkanos, C., & Dustdar, S. (2019). Decentralized Resource Auctioning for Latency-Sensitive Edge Computing. In 2019 IEEE International Conference on Edge Computing (EDGE) (pp. 72–76). IEEE.
  10. Tsigkanos, C., Avasalcai, C., & Dustdar, S. (2019). Architectural considerations for privacy on the edge. IEEE Internet Computing, 23(4), 76–83.
  11. Tsigkanos, C., Arleo, A., Sorger, J., & Dustdar, S. (2019). How do firms transact? Guesstimation and validation of financial transaction networks with satisfiability. In 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI) (pp. 15–22). IEEE.
  12. Arleo, A., Tsigkanos, C., Jia, C., Leite, R. A., Murturi, I., Klaffenboeck, M., … Sorger, J. (2019). Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge. ArXiv Preprint ArXiv:1908.07479.
  13. Murturi, I., Avasalcai, C., Tsigkanos, C., & Dustdar, S. (2019). Edge-to-Edge Resource Discovery using Metadata Replication. In 2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) (pp. 1–6). IEEE.
  14. Tsigkanos, C., Murturi, I., & Dustdar, S. (2019). Dependable Resource Coordination on the Edge at Runtime. In Proceedings of the IEEE, 2019 (pp. 1–17).
  15. Dustdar, S., Avasalcai, C., & Murturi, I. (2019). Edge and Fog Computing: Vision and Research Challenges. In 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 96–9609). IEEE.
  16. Dustdar, S., Fernandez, P., Garcı́a José Marı́a, & Ruiz-Cortés, A. Elastic Smart Contracts across Multiple Blockchains.

Download list as: Bibtext

People (E194-02 Distributed Systems Group)