Hierarchical data fusion for Smart Healthcare R Dautov, S Distefano, R Buyya Journal of Big Data 6 (1), 19, 2019 | 131 | 2019 |
Data Processing in Cyber-Physical-Social Systems through Edge Computing R Dautov, S Distefano, D Bruneo, F Longo, G Merlino, A Puliafito IEEE Access, 2018 | 64 | 2018 |
Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms R Dautov, S Distefano, D Bruneo, F Longo, G Merlino, A Puliafito, ... Software: Practice and Experience, 2018 | 52 | 2018 |
Enabling Workload Engineering in Edge, Fog, and Cloud Computing through OpenStack-based Middleware G Merlino, R Dautov, S Distefano, D Bruneo ACM Transactions on Internet Technology (TOIT) 19 (2), 1-22, 2019 | 50 | 2019 |
Pushing Intelligence to the Edge with a Stream Processing Architecture R Dautov, S Distefano, D Bruneo, F Longo, G Merlino, A Puliafito 2017 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2017 | 39 | 2017 |
Stream processing on clustered edge devices R Dautov, S Distefano IEEE Transactions on Cloud Computing 10 (2), 885-898, 2020 | 31 | 2020 |
Addressing self-management in cloud platforms: a semantic sensor web approach R Dautov, D Kourtesis, I Paraskakis, M Stannett Proceedings of the 2013 international workshop on Hot topics in cloud …, 2013 | 29 | 2013 |
Quantifying volume, velocity, and variety to support (Big) data-intensive application development R Dautov, S Distefano 2017 IEEE International Conference on Big Data (Big Data), 2843-2852, 2017 | 24 | 2017 |
Automating IoT Data-Intensive Application Allocation in Clustered Edge Computing R Dautov, S Distefano IEEE Transactions on Knowledge and Data Engineering 33 (1), 55-69, 2019 | 21 | 2019 |
Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platforms R Dautov, I Paraskakis, M Stannett Journal of Cloud Computing 3, 1-12, 2014 | 20 | 2014 |
Towards a framework for monitoring cloud application platforms as sensor networks R Dautov, I Paraskakis, M Stannett Cluster Computing 17 (4), 1203-1213, 2014 | 20 | 2014 |
Model-based fleet deployment of edge computing applications H Song, R Dautov, N Ferry, A Solberg, F Fleurey Proceedings of the 23rd ACM/IEEE International Conference on Model Driven …, 2020 | 18 | 2020 |
Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum N Ferry, R Dautov, H Song 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 14 | 2022 |
Distributed data fusion for the internet of things R Dautov, S Distefano Parallel Computing Technologies: 14th International Conference, PaCT 2017 …, 2017 | 14 | 2017 |
Data agility through clustered edge computing and stream processing R Dautov, S Distefano, D Bruneo, F Longo, G Merlino, A Puliafito Concurrency and Computation: Practice and Experience 33 (7), 1-1, 2021 | 13 | 2021 |
Model-based fleet deployment in the IoT–edge–cloud continuum H Song, R Dautov, N Ferry, A Solberg, F Fleurey Software and Systems Modeling 21 (5), 1931-1956, 2022 | 12 | 2022 |
Three-level hierarchical data fusion through the IoT, edge, and cloud computing R Dautov, S Distefano 1st International Conference on Internet of Things and Machine Learning (IML …, 2017 | 12 | 2017 |
Towards a Global Intelligent Surveillance System R Dautov, S Distefano, G Merlino, D Bruneo, F Longo, A Puliafito 11th International Conference on Distributed Smart Cameras (ICDSC 2017), 119-124, 2017 | 11 | 2017 |
A vision for monitoring cloud application platforms as sensor networks R Dautov, I Paraskakis Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference, 1-8, 2013 | 11 | 2013 |
Towards IoT Diversity via Automated Fleet Management. R Dautov, H Song MDE4IoT/ModComp@ MoDELS, 47-54, 2019 | 10 | 2019 |