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Rustem Dautov
Rustem Dautov
Senior Research Scientist - SINTEF Digital
Dirección de correo verificada de sintef.no
Título
Citado por
Citado por
Año
Hierarchical data fusion for Smart Healthcare
R Dautov, S Distefano, R Buyya
Journal of Big Data 6 (1), 19, 2019
1272019
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
612018
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
512018
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
462019
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
382017
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
292013
Stream processing on clustered edge devices
R Dautov, S Distefano
IEEE Transactions on Cloud Computing 10 (2), 885-898, 2020
272020
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
242017
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
202014
Towards a framework for monitoring cloud application platforms as sensor networks
R Dautov, I Paraskakis, M Stannett
Cluster Computing 17 (4), 1203-1213, 2014
202014
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
192019
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
142020
Distributed data fusion for the internet of things
R Dautov, S Distefano
Parallel Computing Technologies: 14th International Conference, PaCT 2017 …, 2017
142017
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
122022
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
122021
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
112017
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
112017
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
112013
Towards IoT Diversity via Automated Fleet Management.
R Dautov, H Song
MDE4IoT/ModComp@ MoDELS, 47-54, 2019
102019
An ontology-driven approach to self-management in cloud application platforms
R Dautov, I Paraskakis, D Kourtesis
Proceedings of the 7th South East European Doctoral Student Conference (DSC …, 2012
102012
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