| Edge and fog: A survey, use cases, and future challenges C Avasalcai, I Murturi, S Dustdar Fog Computing: Theory and Practice, 43-65, 2020 | 27 | 2020 |
| Edge and fog computing: Vision and research challenges S Dustdar, C Avasalcai, I Murturi 2019 IEEE International Conference on Service-Oriented System Engineering …, 2019 | 21 | 2019 |
| An efficient approach to monitoring environmental conditions using a wireless sensor network and NodeMCU X Bajrami, I Murturi e & i Elektrotechnik und Informationstechnik 135 (3), 294-301, 2018 | 20 | 2018 |
| Edge-to-edge resource discovery using metadata replication I Murturi, C Avasalcai, C Tsigkanos, S Dustdar 2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC), 1-6, 2019 | 17 | 2019 |
| A Goal-driven Approach for Deploying Self-adaptive IoT Systems F Alkhabbas, I Murturi, R Spalazzese, P Davidsson, S Dustdar IEEE International Conference on Software Architecture (ICSA 2020), 1-11, 2020 | 12 | 2020 |
| Dependable resource coordination on the edge at runtime C Tsigkanos, I Murturi, S Dustdar Proceedings of the IEEE 107 (8), 1520-1536, 2019 | 10 | 2019 |
| Face recognition performance using linear discriminant analysis and deep neural networks X Bajrami, B Gashi, I Murturi International Journal of Applied Pattern Recognition 5 (3), 240-250, 2018 | 6 | 2018 |
| Towards distributed edge-based systems S Dustdar, I Murturi 2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020 | 5 | 2020 |
| Sabrina: Modeling and visualization of financial data over time with incremental domain knowledge A Arleo, C Tsigkanos, C Jia, RA Leite, I Murturi, M Klaffenböck, S Dustdar, ... 2019 IEEE Visualization Conference (VIS), 51-55, 2019 | 5 | 2019 |
| Applying efficient crowdsourcing techniques for increasing quality and transparency of election processes B Rexha, I Murturi Electronic Government, an International Journal 15 (1), 107-128, 2019 | 5 | 2019 |
| Kinematic Model of the seven link biped robot X Bajrami, I Murturi IJMET 8 (2), 454-462, 2017 | 4 | 2017 |
| A decentralized approach for resource discovery using metadata replication in edge networks I Murturi, S Dustdar IEEE Transactions on Services Computing, 2021 | 3 | 2021 |
| A decentralized approach for determining configurator placement in dynamic edge networks I Murturi, M Barzegaran, S Dustdar 2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020 | 3 | 2020 |
| Improving quality of election process using crowdsourcing techniques B Rexha, I Murturi, I Shabani, A Rexhepi International Journal of Applied Mathematics Electronics and Computers 4 (4), 2016 | 3 | 2016 |
| Towards IoT Processes on the Edge S Dustdar, I Murturi Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing …, 2021 | 2 | 2021 |
| On Provisioning Procedural Geometry Workloads on Edge Architectures I Murturi, C Jia, B Kerbl, M Wimmer, S Dustdar, C Tsigkanos In Proceedings of the 17th International Conference on Web Information …, 2021 | 1 | 2021 |
| Utilizing AI Planning on the Edge I Murturi, A Egyed, S Dustdar IEEE Internet Computing 26 (2), 28-35, 2022 | | 2022 |
| DECENT: A Decentralized Configurator for Controlling Elasticity in Dynamic Edge Networks I Murturi, S Dustdar ACM Transactions on Internet Technology (TOIT), 2022 | | 2022 |
| Specification and Operation of Privacy Models for Data Streams on the Edge B Sedlak, I Murturi, S Dustdar The 6th IEEE International Conference on Fog and Edge Computing, 2022 | | 2022 |
| Transforming the Method of Least Squares to the Dataflow Paradigm I Murturi Handbook of Research on Methodologies and Applications of Supercomputing …, 2021 | | 2021 |
Schahram DustdarProfessor of Computer Science, Member of Academia Europaea, IEEE Fellow, TU Wien, AustriaVerified email at dsg.tuwien.ac.at
