TU Wien Informatics

20 Years

Role

2023

2022

2021

  • Towards IoT Processes on the Edge / Dustdar, S., & Murturi, I. (2021). Towards IoT Processes on the Edge. In M. Aiello, A. Bouguettaya, D. A. Tamburri, & W.-J. van den Heuvel (Eds.), Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future (pp. 167–178). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-73203-5_13
  • Transforming the Method of Least Squares to the Dataflow Paradigm / Murturi, I. (2021). Transforming the Method of Least Squares to the Dataflow Paradigm. In V. Milutinovic & M. Kotlar (Eds.), Advances in Systems Analysis, Software Engineering, and High Performance Computing (pp. 114–121). IGI Global. https://doi.org/10.4018/978-1-7998-7156-9.ch008
  • Resource management and elasticity control in edge networks / Murturi, I. (2021). Resource management and elasticity control in edge networks [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.106981
    Download: PDF (3.38 MB)
  • On Provisioning Procedural Geometry Workloads on Edge Architectures / Murturi, I., Jia, C., Kerbl, B., Wimmer, M., Dustdar, S., & Tsigkanos, C. (2021). On Provisioning Procedural Geometry Workloads on Edge Architectures. In F. Dominguez Mayo, M. Marchiori, & J. Filipe (Eds.), Proceedings of the 17th International Conference on Web Information Systems and Technologies. SCITEPRESS. https://doi.org/10.5220/0010687800003058
    Projects: EDENSPACE (2019–2022) / FogProtect (2020–2022)

2020

  • Edge and Fog: A Survey, Use Cases, and Future Challenges / Avasalcai, C., Murturi, I., & Dustdar, S. (2020). Edge and Fog: A Survey, Use Cases, and Future Challenges. In A. Abbas, S. U. Khan, & A. Y. Zomaya (Eds.), Fog Computing: Theory and Practice (pp. 43–65). John Wiley & Sons, Inc. http://hdl.handle.net/20.500.12708/30294
    Project: FORA (2017–2021)
  • A Decentralized Approach for Determining Configurator Placement in Dynamic Edge Networks / Murturi, I., Barzegaran, M., & Dustdar, S. (2020). A Decentralized Approach for Determining Configurator Placement in Dynamic Edge Networks. In 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI). IEEE 2nd International Conference on Cognitive Machine Intelligence (CogMI 2020) - Online Conference, Atlanta, Georgia, USA, Non-EU. IEEE. https://doi.org/10.1109/cogmi50398.2020.00027
    Project: FORA (2017–2021)
  • Towards Distributed Edge-based Systems / Dustdar, S., & Murturi, I. (2020). Towards Distributed Edge-based Systems. In 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI). IEEE 2nd International Conference on Cognitive Machine Intelligence (CogMI 2020) - Online Conference, Atlanta, Georgia, USA, Non-EU. IEEE. https://doi.org/10.1109/cogmi50398.2020.00021
    Project: FogProtect (2020–2022)
  • A Goal-Driven Approach for Deploying Self-Adaptive IoT Systems / Alkhabbas, F., Murturi, I., Spalazzese, R., Davidsson, P., & Dustdar, S. (2020). A Goal-Driven Approach for Deploying Self-Adaptive IoT Systems. In 2020 IEEE International Conference on Software Architecture (ICSA). IEEE 17th International Conference on Software Architecture (ICSA 2020) - Online Conference, Salvador, Brazil, Non-EU. IEEE. https://doi.org/10.1109/icsa47634.2020.00022

2019

  • Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge / Arleo, A., Tsigkanos, C., Jia, C., Almeida Leite, R., Murturi, I., Klaffenböck, M., Dustdar, S., Miksch, S., Wimmer, M., & Sorger, J. (2019). Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge. In 2019 IEEE Visualization Conference (VIS). 2019 IEEE Visualization Conference (VIS), Vancouver, British Columbia, Canada, Non-EU. IEEE. https://doi.org/10.1109/visual.2019.8933598
  • Edge-to-Edge Resource Discovery using Metadata Replication / 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). IEEE 3rd International Conference on Fog and Edge Computing (ICFEC 2019), Larnaca, Cyprus, EU. IEEE. https://doi.org/10.1109/cfec.2019.8733149
    Project: FORA (2017–2021)
  • Invited Paper: Edge and Fog Computing: Vision and Research Challenges / Dustdar, S., Avasalcai, C., & Murturi, I. (2019). Invited Paper: Edge and Fog Computing: Vision and Research Challenges. In 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE). 13th IEEE International Conference on Service-Oriented System Engineering (SOSE 2019), San Francisco East Bay, California, USA, Non-EU. IEEE. https://doi.org/10.1109/sose.2019.00023
    Project: FORA (2017–2021)
  • Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge / Arleo, A., Tsigkanos, C., Jia, C., Leite, R. A., Murturi, I., Klaffenböck, M., Dustdar, S., Miksch, S., Wimmer, M., & Sorger, J. (2019). Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge (1908.07479). arXiv. https://doi.org/10.48550/arXiv.1908.07479
  • Dependable Resource Coordination on the Edge at Runtime (Invited paper) / Tsigkanos, C., Murturi, I., & Dustdar, S. (2019). Dependable Resource Coordination on the Edge at Runtime (Invited paper). Proceedings of the IEEE, 107(8), 1520–1536. https://doi.org/10.1109/jproc.2019.2917314

2018