TU Wien Informatics

Asst. Prof. Dr. Stefan Nastic

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Assistant Professor

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Short Curriculum Vitae

Dipl.-Ing. Dr.techn. Stefan Nastic is an Assistant Professor on a tenure track at TU Wien, Institute of Information Systems Engineering, Distributed Systems Group (DSG). He joined DSG in August 2022 and started the tenure track in November 2022. Since 2021 Stefan is also a co-founding member and a Technical Steering Committee member in Linux Foundation’s Project Centaurus. He is also a founder and Managing Director of IntelliEdge GmbH. Stefan earned a Doctoral degree (PhD) summa cum laude (“mit Auszeichnung”) in 2016 from TU Wien, with a thesis: “Programming, Provisioning and Governing IoT Cloud Systems”.

During the last decade, Stefan has been involved in a number of large research and commercial projects related to Edge Computing, Cloud Computing, Artificial Intelligence, and Internet of Things, such as a multi-million Pacific Controls Cloud Computing Lab (PC3L), H2020 U-Test, Urban Europe SMART-FI and Futurewei Polaris Cloud. The main results of his research have been published in 40+ scholarly publications and 1 book, leading to the h‑index of 25 as tracked by Google Scholar.

Research Agenda in a Nutshell

The next-generation Clouds are already expanding beyond traditional data centers into the far edges of the network. This is completely transforming how we perceive the notion of compute infrastructures and other digital resources such as storage or network. Additionally, novel types of Edge-based and IoT resources, such as sensors are becoming an integral part of this novel compute fabric. We are witnessing a shift, in which digital resources are becoming truly ubiquitous commodities and first-class citizens available across the entire Edge-Cloud-IoT continuum. This is quickly disrupting our understanding of many engineering techniques and system properties, some of which are traditionally known as cloud-native flagship properties. Examples include compute and execution models (e.g., serverless computing), Service Level Objectives (SLOs), reliability engineering, performance engineering, design architectures (e.g., microservice architectures), and elasticity. Furthermore, embedding intelligence in the Edge plays a decisive role in enabling efficient and cost-effective application development and operations in the novel Edge-Cloud-IoT continuum.

A novel software-defined, intelligence-driven, and Internet-scale solution is required to address the challenges of the next-generation Edge-Cloud-IoT systems and enable the raise of the next-generation systems and service offerings. I refer to such a solution as Intelligent Compute and Data Fabric for Edge-Cloud-IoT. Such an Intelligent Fabric represents a paradigm shift from traditional services and platforms computing to fabric-centric computing where digital resources, infrastructures, and systems become commodities, which permeate the entire compute and data continuum. At the same time Intelligent Fabric represents a natural evolution of my past research, but also requires addressing several key research challenges in distributed systems.

My main research topics at a glance

Academic Teaching

Lectures and Courses

No. Title Type
194.151 Serverless Computing VU, 3.0 ECTS
194.024 Distributed Systems VU, 6.0 ECTS
184.194 Seminar in Distributed Systems SE, 3.0 ECTS
180.777 Seminar for Master Students in Software Engineering & Internet Computing SE, 1.5 ECTS
193.052 Scientific Research and Writing SE, 3.0 ECTS
194.058 Project in Computer Science 1 PR, 6.0 ECTS
194.059 Project in Computer Science 2 PR, 6.0 ECTS
184.714 Bachelor Thesis for Informatics and Business Informatics PR, 10.0 ECTS

The most recent list of my courses in the current and the past semesters can be found here.

Students and Thesis Supervision

I am regularly supervising PhD, Master’s and Bachelor’s Theses with topics related to my research areas. If you are interested in doing your thesis with me, please drop me a line.

Current PhD Students

  1. Cynthia Marcelino (supervisor)
  2. Thomas Pusztai (co-supervisor)
  3. Philipp Raith (co-supervisor)
  4. Amirali Amiri (examiner)

Current Master Students

  1. Jack Shahhoud (supervisor, MSc)
  2. Meiko Prilop (supervisor, MSc)
  3. Valentin Goronjic (supervisor, MSc)
  4. Raphael Fleischmann (supervisor, MSc)
  5. Rastko Gajanin (supervisor, MSc)
  6. Leonard Guelmino (supervisor, MSc)

The link to all supervised Master’s Thesis can be found at the TU Wien Library Online Catalogue.

Academic Community

Editorial Board and Steering Committee Memberships

  1. International Journal of Networked and Distributed Computing (Springer) [Editorial Board mem. ]

  2. Frontiers in the Internet of Things – IoT Computing Paradigms [Associate Editor]

  3. International Journal of Ad Hoc and Ubiquitous Computing [Editorial Board mem. ]

  4. Journal of Cloud Computing and Data Science [Associate Editor]

  5. Linux Foundation Centaurus Cloud [Technical Steering Committee mem.]

  6. MDPI Sensors. Special Issue “Serverless Continuum: Serverless Computing for the Edge-Cloud-IoT Continuum” [Guest Editor]

  7. MDPI Sensors. Special Issue “Edge AI for Next Generation Cloud-Edge-IoT Systems” [Guest Editor]

Chairs and Program Committee Memberships

  1. The 2nd International Workshop on the Orchestration of the Serverless Edge-Cloud Continuum (COHERENT 2025). [TPC mem.]

  2. The 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2025). [TPC mem.]

  3. The 14th International Conference on the Internet of Things (IoT 2024). [TPC mem.]

  4. The 7th International Conference on Information Science and Systems (ICISS 2024) [TPC mem.]

  5. The 2st International Workshop on Scalable Compute Continuum (WSCC 2024). Workshops and Minisymposia of Euro-Par 2024 [TPC mem.]

  6. The 2024 IEEE Intenational Conference on Big Data (IEEE BigData 2024) [TPC mem.]

  7. The 22st Mediterranean Communication and Computer Networking Conference (MedComNet 2024) [TPC mem.]

  8. The 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024). [TPC mem.]

  9. The 1st International Workshop on the Orchestration of the Serverless Edge-Cloud Continuum (COHERENT 2024). [TPC mem.]

  10. The 8th IEEE International Conference on Fog and Edge Computing (ICFEC2024 ). [TPC mem.]

  11. The 33rd International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2024). [Publicity Chair]

  12. International Workshop on Quality of Service-Aware Serverless Computing (QServ ‘23). Co-located with IEEE/ACM UCC 2023. [TPC mem.]

  13. The 13th International Conference on the Internet of Things (IoT 2023). [TPC mem.]

  14. The 1st International Workshop on Scalable Compute Continuum (WSCC 2023). Workshops and Minisymposia of Euro-Par 2023 [TPC mem.]

  15. The 1st International Workshop on Advances in environmental sensing systems for smart cities (EnvSys 2023). Workshop of ACM MobiSys 2023 [TPC mem.]

  16. The 6th International Conference on Information Science and Systems (ICISS 2023) [TPC mem.]

  17. The 2nd workshop on Flexible Resource and Application Management on the Edge(FRAME ‘22) [TPC mem.]

  18. The 3rd IEEE Infrastructure Conference (Infrastructure ‘22) [TPC mem.]

  19. The 18th Intelligent Environment Conference (IE 2022) [Industrial Forum Chair]

Keynotes and Invited Talks

  1. “Computing Paradigms for the Next-Generation Computing Landscapes”. The 2nd AIoTwin Summer School. [Keynote]

  2. “Developing Compound AI Systems: Challenges, Opportunities, and Best Practices”. The 7th International Conference on Information Science and Systems (ICISS 2024). [Invited Talk]

  3. “Serverless Compute Fabric for Edge-Cloud Continuum”. Invited talk at Software Architecture Group at University of Vienna [Invited Talk]

  4. “Serverless Compute Fabric for Edge-Cloud Continuum: Opportunities and Challenges”. The 25th International Conference on Enterprise Information Systems (ICEIS 2023) [Keynote] [Video recording]

  5. “Serverless Compute Fabric for the Next-generation Edge-Cloud-IoT Systems”. The 6th International Conference on Information Science and Systems (ICISS 2023) [Invited Talk]

Projects

Rapid Recovery Control Technology of Urban Traffic under Accident Environment based on Artificial Intelligence (RapidREC)


Horizon Europe - NexGen 3D Networks Spin Harmonies across 6G, AI, and unified TN/NTN (NexaSphere)

Publications

Publications Summary

Several papers are available for download. By following these links you agree to respect the copyrights of the papers.

The papers obtained from this Web page are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.

Journal Articles

  1. Nastic, S. (2024). Self-Provisioning Infrastructures for the Next Generation Serverless Computing. SN Computer Science, 5(6), 678–693. https://doi.org/10.1007/s42979-024-03022-w [Paper]
  2. Larcher, T., Gritsch, P., Nastic, S., & Ristov, S. (2024). BAASLESS: Backend-as-a-Service (BaaS)-Enabled Workflows in Federated Serverless Infrastructures. IEEE Transactions on Cloud Computing, 1(1), 1–15. https://doi.org/10.1109/TCC.2024.3439268 [Paper]
  3. Raith, P., Nastic, S., & Dustdar, S. (2023). Serverless Edge Computing—Where We Are and What Lies Ahead. IEEE Internet Computing, 27(3), 50–64. https://doi.org/10.1109/MIC.2023.3260939 [Paper]
  4. Nastic, S., Morichetta, A., Pusztai, T., Dustdar, S., Ding, X., Vij, D., & Xiong, Y. (2020). SLOC: Service Level Objectives for Next Generation Cloud Computing. IEEE Internet Computing, 24(3), 39–50. https://doi.org/10.1109/MIC.2020.2987739 [Paper]
  5. Scekic, O., Nastic, S., & Dustdar, S. (2019). Blockchain-Supported Smart City Platform for Social Value Co-Creation and Exchange. IEEE Internet Computing, Volume 23(Issue 1), 19–28. https://doi.org/10.1109/MIC.2018.2881518 [Paper]
  6. Gusev, M., Koteska, B., Kostoska, M., Jakimovski, B., Dustdar, S., Scekic, O., … Fahringer, T. (2019). A Deviceless Edge Computing Approach for Streaming IoT Applications. IEEE Internet Computing, Volume 23(Issue 1), 37–45. https://doi.org/10.1109/MIC.2019.2892219 [Paper]
  7. Nastic, S., Rausch, T., Scekic, O., Dustdar, S., Gusev, M., Koteska, B., … Prodan, R. (2017). A Serverless Real-Time Data Analytics Platform for Edge Computing. IEEE Internet Computing, Volume 21(Issue 4), 64–71. https://doi.org/10.1109/MIC.2017.2911430 [Paper]
  8. Nardelli, M., Nastic, S., Dustdar, S., Villari, M., & Ranjan, R. (2017). Osmotic Flow: Osmotic Computing + IoT Workflow. IEEE Cloud Computing, Volume 4(Issue 2), 68–75. https://doi.org/10.1109/MCC.2017.22 [Paper]
  9. Nastic, S., Truong, H.-L., & Dustdar, S. (2015). SDG-Pro: a programming framework for software-defined IoT cloud gateways. Journal of Internet Services and Applications, Volume 6(21). https://doi.org/10.1186/s13174-015-0037-1 [Paper]
  10. Li, F., Vögler, M., Sehic, S., Qanbari, S., Nastic, S., Truong, H.-L., & Dustdar, S. (2013). Web-Scale Service Delivery for Smart Cities. IEEE Internet Computing, Volume 17(Issue 4), 78–83. https://doi.org/10.1109/MIC.2013.79 [Paper]

Conference Articles

  1. Maresch, M., & Nastic, S. (2024). VATE: Edge-Cloud System for Object Detection in Real-Time Video Streams. In The 8th IEEE International Conference On Fog and Edge Computing (ICFEC 2024). [Paper]
  2. Raith, P., Nastic, S., & Dustdar, S. (2024). SimuScale: Optimizing Parameters for Autoscaling of Serverless Edge Functions Through Co-Simulation. In The 17th International Conference on Cloud Computing (CLOUD) (pp. 305–315). https://doi.org/10.1109/CLOUD62652.2024.00042 [Paper]
  3. Goronjic, V., & Nastic, S. (2024). MISO: A CRDT-based Middleware for Stateful Objects in the Serverless Edge-Cloud Continuum. In TThe 12th IEEE International Conference on Cloud Engineering (IC2E 2024). https://doi.org/10.1109/IC2E61754.2024.00013 [Paper]
  4. Raith, P., Rattihalli, G., Dhakal, A., Chalamalasetti, S. R., Milojicic, D., Frachtenberg, E., … Dustdar, S. (2024). Opportunistic Energy-Aware Scheduling for Container Orchestration Platforms Using Graph Neural Networks. In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 299–306). https://doi.org/10.1109/CCGrid59990.2024.00042 [Paper]
  5. Marcelino, C., Shahhoud, J., & Nastic, S. (2024). GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum. In Proceedings of the 14th International Conference on the Internet of Things (IoT 2024). New York, NY, USA: Association for Computing Machinery. [Paper]
  6. Gajanin, R., Danilenka, A., Morichetta, A., & Nastic, S. (2024). Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition. In Proceedings of the 14th International Conference on the Internet of Things (IoT 2024). New York, NY, USA. [Paper]
  7. Ristov, S., Hautz, M., Gritsch, P., Nastic, S., Prodan, R., & Felderer, M. (2024). StoreLess: Serverless Workflow Scheduling with Federated Storage in Sky Computing. In Proceedings of the 22nd International Conference on Service-Oriented Computing (ICSOC 2024). [Paper]
  8. Pusztai, T., Marcelino, C., & Nastic, S. (2024). HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum. In Proceedings of the 9th ACM/IEEE Symposium on Edge Computing (SEC ’24). New York, NY, USA. [Paper]
  9. Morichetta, A., Casamayor Pujol, V., Nastic, S., Pusztai, T., Raith, P., Dustdar, S., … Zhang, Z. (2023). Demystifying Deep Learning in Predictive Monitoring for Cloud-Native SLOs. In IEEE 15th International Conference on Cloud Computing (CLOUD). https://doi.org/10.1109/CLOUD60044.2023.00013 [Paper]
  10. Morichetta, A., Casamayor Pujol, V., Nastic, S., Dustdar, S., Vij, D., Xiong, Y., & Zhang, Z. (2023). PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum. In The 18th IEEE International Symposium on Service-Oriented System Engineering (SOSE 2023). https://doi.org/10.1109/SOSE58276.2023.00010 [Paper]
  11. Casamayor Pujol, V., Morichetta, A., & Nastic, S. (2023). Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum. In The 18th IEEE International Symposium on Service-Oriented System Engineering (SOSE 2023). https://doi.org/10.1109/SOSE58276.2023.00024 [Paper]
  12. Pusztai, T., Nastic, S., Casamayor Pujol, V., Raith, P., Dustdar, S., Vij, D., & Xiong, Y. (2023). Vela: A 3-Phase Distributed Scheduler for the Edge-Cloud Continuum. In The 11th IEEE International Conference on Cloud Engineering (IC2E 2023). https://doi.org/10.1109/IC2E59103.2023.00026 [Paper]
  13. Li, K., & Nastic, S. (2023). AttentionFunc: Balancing FaaS Compute across Edge-Cloud Continuum with Reinforcement Learning. In The 13th International Conference on the Internet of Things (IoT 2023). https://doi.org/10.1145/3627050.3627066 [Paper]
  14. Marcelino, C., & Nastic, S. (2023). CWASI: A WebAssembly Runtime Shim for Inter-function Communication in the Serverless Edge-Cloud Continuum. In The Eighth ACM/IEEE Symposium on Edge Computing (SEC 2023). https://doi.org/10.1145/3583740.3626611 [Paper]
  15. Pusztai, T., Nastic, S., Morichetta, A., Casamayor Pujol, V., Raith, P., Dustdar, S., … Zhang, Z. (2022). Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge. In IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC). https://doi.org/10.1109/UCC56403.2022.00017 [Paper]
  16. Nastic, S., Dustdar, S., Philipp, R., Alireza, F., & Pusztai, T. (2022). A Serverless Computing Fabric for Edge & Cloud. In 4th IEEE International Conference on Cognitive Machine Intelligence (CogMi). https://doi.org/10.1109/CogMI56440.2022.00011 [Paper]
  17. Pusztai, T., Nastic, S., Morichetta, A., Casamayor Pujol, V., Dustdar, S., Ding, X., … Xiong, Y. (2021). A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs. In IEEE 14th International Conference on Cloud Computing (CLOUD). https://doi.org/10.1109/CLOUD53861.2021.00055 [Paper]
  18. Pusztai, T., Nastic, S., Morichetta, A., Casamayor Pujol, V., Dustdar, S., Ding, X., … Xiong, Y. (2021). SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs. In IEEE International Conference on Web Services (ICWS). https://doi.org/10.1109/ICWS53863.2021.00017 [Paper]
  19. Nastic, S., Pusztai, T., Morichetta, A., Casamayor Pujol, V., Dustdar, S., Vij, D., & Xiong, Y. (2021). Polaris scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters. In IEEE 14th International Conference on Cloud Computing (CLOUD) (pp. 206–216). https://doi.org/10.1109/CLOUD53861.2021.00034 [Paper]
  20. Tsigkanos, C., Nastic, S., & Dustdar, S. (2019). Towards Resilient Internet of Things: Vision, Challenges, and Research Roadmap. In Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019) (pp. 1754–1764). IEEE. https://doi.org/10.1109/ICDCS.2019.00174 [Paper]
  21. Rausch, T., Nastic, S., & Dustdar, S. (2018). EMMA: Distributed QoS-Aware MQTT Middleware for Edge Computing Applications. In Proceedings of the IEEE International Conference on Cloud Engineering (IC2E 2018) (pp. 191–197). IEEE. https://doi.org/10.1109/IC2E.2018.00043 [Paper]
  22. Nastic, S., Truong, H.-L., & Dustdar, S. (2017). Data and Control Points: A Programming Model for Resource-constrained IoT Cloud Edge Devices. In IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), Proceedings (pp. 3535–3540). IEEE. https://doi.org/10.1109/SMC.2017.8123179 [Paper]
  23. Glikson, A., Nastic, S., & Dustdar, S. (2017). Deviceless Edge Computing: Extending Serverless Computing to the Edge of the Network. In Proceedings of the 10th ACM International Systems and Storage Conference (SYSTOR 2017) (pp. Article No. 28). ACM. https://doi.org/10.1145/3078468.3078497 [Paper]
  24. Nastic, S., Truong, H.-L., & Dustdar, S. (2016). A Middleware Infrastructure for Utility-Based Provisioning of IoT Cloud Systems. In Proceedings of the 1st IEEE/ACM Symposium on Edge Computing (SEC 2016) (pp. 28–40). IEEE. https://doi.org/10.1109/SEC.2016.35 [Paper]
  25. Dustdar, S., Nastic, S., & Scekic, O. (2016). A Novel Vision of Cyber-Human Smart City. In Proceedings of the 4th IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb 2016) (pp. 42–47). IEEE Computer Society. https://doi.org/10.1109/HotWeb.2016.16 [Paper]
  26. Truong, H.-L., Copil, G., Dustdar, S., Le, D.-H., Moldovan, D., & Nastic, S. (2016). On Engineering Analytics for Elastic IoT Cloud Platforms. In Service-Oriented Computing, 14th International Conference, ICSOC 2016, Proceedings (pp. 267–281). LNCS 9936: Springer International Publishing. https://doi.org/10.1007/978-3-319-46295-0_17 [Paper]
  27. Nastic, S., Copil, G., Truong, H.-L., & Dustdar, S. (2015). Governing Elastic IoT Cloud Systems under Uncertainty. In Proceedings of the IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom 2015) (pp. 131–138). IEEE Computer Society. https://doi.org/10.1109/CloudCom.2015.77 [Paper]
  28. Truong, H.-L., Copil, G., Dustdar, S., Le, D.-H., Moldovan, D., & Nastic, S. (2015). iCOMOT - A Toolset for Managing IoT Cloud Systems. In Proceedings of the 2015 IEEE 16th International Conference on Mobile Data Management, MDM 2015, Volume I (pp. 299–302). IEEE Computer Society. https://doi.org/10.1109/MDM.2015.65 [Paper]
  29. Nastic, S., Inzinger, C., Truong, H.-L., & Dustdar, S. (2015). GovOps: The Missing Link for Governance in Software-Defined IoT Cloud Systems. In Service-Oriented Computing - ICSOC 2014 Workshops WESOA, SeMaPS, RMSOC, KASA, ISC, FOR-MOVES, CCSA and Satellite Events, Revised Selected Papers (pp. 20–31). LNCS 8954: Springer International Publishing. https://doi.org/10.1007/978-3-319-22885-3_3 [Paper]
  30. Vögler, M., Li, F., Claeßens, M., Schleicher, J. M., Sehic, S., Nastic, S., & Dustdar, S. (2015). COLT Collaborative Delivery of Lightweight IoT Applications. In Internet of Things. User-Centric IoT, First International Summit, IoT360, 2014, Revised Selected Papers, Part I (pp. 265–272). LNICST 150: Springer International Publishing. https://doi.org/10.1007/978-3-319-19656-5_38 [Paper]
  31. Nastic, S., Vögler, M., Inzinger, C., Truong, H.-L., & Dustdar, S. (2015). rtGovOps: A Runtime Framework for Governance in Large-scale Software-defined IoT Cloud Systems (Selected among the 3 best papers.). In Proceedings of the 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (IEEE Mobile Cloud 2015) (pp. 24–33). https://doi.org/10.1109/MobileCloud.2015.38 [Paper]
  32. Vögler, M., Schleicher, J. M., Inzinger, C., Nastic, S., Sehic, S., & Dustdar, S. (2015). LEONORE - Large-Scale Provisioning of Resource-Constrained IoT Deployments. In Proceedings of the 9th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2015 (pp. 78–87). IEEE Computer Society. https://doi.org/10.1109/SOSE.2015.23 [Paper]
  33. Le, D.-H., Truong, H.-L., Copil, G., Nastic, S., & Dustdar, S. (2014). SALSA: A Framework for Dynamic Configuration of Cloud Services. In Proceedings of the 2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom 2014), Volume 1 (pp. 146–153). IEEE Computer Society. https://doi.org/10.1109/CloudCom.2014.99 [Paper]
  34. Nastic, S., Sehic, S., Le, D.-H., Truong, H.-L., & Dustdar, S. (2014). Provisioning Software-defined IoT Cloud Systems. In Proceedings of the 2014 International Conference on Future Internet of Things and Cloud, FiCloud 2014 (pp. 288–295). IEEE. https://doi.org/10.1109/FiCloud.2014.52 [Paper]
  35. Sehic, S., Nastic, S., Vögler, M., Li, F., & Dustdar, S. (2014). Entity-Adaptation: A Programming Model for Development of Context-Aware Applications. In Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014 (pp. 436–443). ACM. https://doi.org/10.1145/2554850.2555015 [Paper]
  36. Inzinger, C., Nastic, S., Sehic, S., Vögler, M., Li, F., & Dustdar, S. (2014). MADCAT: A Methodology for Architecture and Deployment of Cloud Application Topologies. In Proceedings of the IEEE 8th International Symposium on Service Oriented System Engineering, SOSE 2014 (pp. 13–22). IEEE Computer Society. https://doi.org/10.1109/SOSE.2014.9 [Paper]
  37. Nastic, S., Sehic, S., Vögler, M., Truong, H.-L., & Dustdar, S. (2013). PatRICIA - a Novel Programming Model for IoT Applications on Cloud Platforms. In Proceedings of the IEEE 6th International Conference on Service‐Oriented Computing and Applications, SOCA 2013 (pp. 53–60). IEEE. https://doi.org/10.1109/SOCA.2013.48 [Paper]
  38. Dustdar, S., Li, F., Truong, H.-L., Sehic, S., Nastic, S., Qanbari, S., … Claeßens, M. (2013). Green Software Services: From Requirements to Business Models. In 2nd International Workshop on Green and Sustainable Software (GREENS 2013), Proceedings (pp. 1–7). IEEE. https://doi.org/10.1109/GREENS.2013.6606415 [Paper]
  39. Li, F., Nastic, S., & Dustdar, S. (2012). Data Quality Observation in Pervasive Environments. In Proceedings of the 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012 - and CSE 2012 (pp. 602–609). IEEE Computer Society. https://doi.org/10.1109/ICCSE.2012.88 [Paper]
  40. Sehic, S., Li, F., Nastic, S., & Dustdar, S. (2012). A Programming Model for Context-Aware Applications in Large-Scale Pervasive Systems. In Proceedings of the IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2012) (pp. 142–149). IEEE Computer Society. [Paper]

Books and Book Chapters

  1. Nastic, S., & Dustdar, S. (2018). Towards Deviceless Edge Computing: Challenges, Design Aspects, and Models for Serverless Paradigm at the Edge. In The Essence of Software Engineering (pp. 121–136). Springer, Cham. https://doi.org/10.1007/978-3-319-73897-0_8 [Paper]
  2. Nastic, S., Cubo, J., Donato, M., Dustdar, S., Jonsson, Ö. G. M., Özdemir, Ö., … Yümlü, M. S. (2018). SMART-FI: Exploiting Open IoT Data from Smart Cities in the Future Internet Society. In Internet of Everything: Algorithms, Methodologies, Technologies and Perspectives (Vol. Internet of Things, pp. 153–173). Springer, Singapore. https://doi.org/10.1007/978-981-10-5861-5_7
  3. Dustdar, S., Nastic, S., & Scekic, O. (2017). Smart Cities: The Internet of Things, People and Systems. Springer International Publishing. https://doi.org/10.1007/978-3-319-60030-7
  4. Li, F., Vögler, M., Sehic, S., Qanbari, S., Truong, H.-L., Nastic, S., & Dustdar, S. (2013). IoT PaaS: Intelligente IT Infrastruktur für Smart Cities. In smart city: Wiener Know-how aus Wissenschaft und Forschung (pp. 191–198). Schmid Verlag Gesm.b.H. [Paper]

Further publications

  1. Dustdar, S., Vögler, M., Sehic, S., Qanbari, S., Nastic, S., & Truong, H.-L. (2014). The Internet of Things Meets Cloud Computing in Smart Cities. Bridges, Vol. 41.