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2020 – today

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2024
[c37]
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Donatella Firmani, Francesco Leotta, Jerin George Mathew, Jacopo Rossi, Lorenzo Balzotti, Hui Song, Dumitru Roman, Rustem Dautov, Erik Johannes Husom, Sagar Sen, Vilija Balionyte-Merle, Andrea Morichetta, Schahram Dustdar, Thijs Metsch, Valerio Frascolla, Ahmed Khalid, Giada Landi, Juan Brenes, Ioan Toma, Róbert Szabó, Christian Schaefer, Cosmin Udroiu, Alexandre Ulisses, Verena Pietsch, Sigmund Akselsen, Arne Munch-Ellingsen, Irena Pavlova, Hong-Gee Kim, Changsoo Kim, Bob Allen, Sunwoo Kim, Paulson Eberechukwu:
INTEND: Intent-Based Data Operation in the Computing Continuum. CAiSE Research Projects Exhibition 2024: 43-50
[c36]
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Rustem Dautov, Erik Johannes Husom:
Latency-Aware Node Selection in Federated Learning. IFIP Networking 2024: 598-600
[c35]
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Rustem Dautov, Erik Johannes Husom:
Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data. PETRA 2024
[c34]
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Rustem Dautov, Hui Song, Dumitru Roman, Erik Johannes Husom, Sagar Sen, Vilija Balionyte-Merle, Donatella Firmani, Francesco Leotta, Jerin George Mathew, Jacopo Rossi, Lorenzo Balzotti, Andrea Morichetta, Schahram Dustdar, Thijs Metsch, Valerio Frascolla, Ahmed Khalid, Giada Landi, Juan Brenes, Ioan Toma, Róbert Szabó, Christian Schaefer, Seonghyun Kim, Cosmin Udroiu, Alexandre Ulisses, Verena Pietsch, Sigmund Akselsen, Arne Munch-Ellingsen, Irena Pavlova, Dessislava Petrova-Antonova, Hong-Gee Kim, Changsoo Kim, Bob Allen, Sunwoo Kim, Paulson Eberechukwu:
INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. RuleML+RR (Companion) 2024
[c33]
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Rustem Dautov, Simeon Tverdal, André Skoog Bondevik, Svein Arild Frøshaug, Vera Szabo, Jan Robert Fiksdal, Martin Fodstad Stølen:
SMARAGD: Data Interoperability for Decision Support in the Norwegian Agrifood Sector. RuleML+RR (Companion) 2024
[c32]
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Rustem Dautov, Erik Johannes Husom:
Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning. SEAMS@ICSE 2024: 110-121
2023
[c31]
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Konstantinos Loupos, Harris Niavis, Fotis Michalopoulos, George Misiakoulis, Antonio F. Skarmeta, Jesús Garcia, Angel Palomares, Hui Song, Rustem Dautov, Francesca Giampaolo, Rosella Mancilla, Francesca Costantino, Dimitri Van Landuyt, Sam Michiels, Stefan More, Christos Xenakis, Michail Bampatsikos, Ilias Politis, Konstantinos Krilakis, Sokratis Vavilis:
An inclusive Lifecycle Approach for IoT Devices Trust and Identity Management. ARES 2023: 98:1-98:6
[c30]
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Erkuden Rios, Eider Iturbe, Angel Rego, Nicolas Ferry, Jean-Yves Tigli, Stéphane Lavirotte, Gérald Rocher, Phu Hong Nguyen, Hui Song, Rustem Dautov, Wissam Mallouli, Ana Rosa Cavalli:
The DYNABIC approach to resilience of critical infrastructures. ARES 2023: 136:1-136:8
[c29]
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Phu Hong Nguyen, Rustem Dautov, Hui Song, Angel Rego, Eider Iturbe, Erkuden Rios, Diego Sagasti, Gonzalo Nicolas, Valeria Valdés, Wissam Mallouli, Ana R. Cavalli, Nicolas Ferry:
Towards Smarter Security Orchestration and Automatic Response for CPS and IoT. CloudCom 2023: 298-302
[c28]
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Rustem Dautov, Erik Johannes Husom, Sagar Sen, Hui Song:
Towards Community-Driven Generative AI. FedCSIS (Position Papers) 2023: 43-50
[c27]
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Bárbara da Silva Oliveira, Nicolas Ferry, Hui Song, Rustem Dautov, Ankica Barisic, Atslands Rego da Rocha:
Function-as-a-Service for the Cloud-to-Thing Continuum: A Systematic Mapping Study. IoTBDS 2023: 82-93
[c26]
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Rustem Dautov, Hui Song:
Context-Aware Digital Twins to Support Software Management at the Edge. RCIS 2023: 239-255
2022
[j11]
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  - journals/sosym/SongDFSF22
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Hui Song, Rustem Dautov, Nicolas Ferry, Arnor Solberg, Franck Fleurey:
Model-based fleet deployment in the IoT-edge-cloud continuum. Softw. Syst. Model. 21(5): 1931-1956 (2022)
[j10]
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Rustem Dautov, Salvatore Distefano:
Stream Processing on Clustered Edge Devices. IEEE Trans. Cloud Comput. 10(2): 885-898 (2022)
[c25]
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  - conf/ccgrid/0001DS22
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Nicolas Ferry, Rustem Dautov, Hui Song:
Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum. CCGRID 2022: 851-858
[c24]
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Erik Johannes Husom, Rustem Dautov, Adela-Aniela Nedisan, Fotis Gonidis, Spyridon Papatzelos, Nikolaos Malamas:
Machine Learning for Fatigue Detection using Fitbit Fitness Trackers. icSPORTS 2022: 41-52
[c23]
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Rustem Dautov, Erik Johannes Husom, Fotis Gonidis, Spyridon Papatzelos, Nikolaos Malamas:
Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps. WiMob 2022: 363-368
2021
[j9]
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Rustem Dautov, Salvatore Distefano, Dario Bruneo, Francesco Longo, Giovanni Merlino, Antonio Puliafito:
Data agility through clustered edge computing and stream processing. Concurr. Comput. Pract. Exp. 33(7): 1 (2021)
[j8]
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Rustem Dautov, Salvatore Distefano:
Automating IoT Data-Intensive Application Allocation in Clustered Edge Computing. IEEE Trans. Knowl. Data Eng. 33(1): 55-69 (2021)
[c22]
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  - conf/iscc/DautovS021
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Rustem Dautov, Hui Song, Nicolas Ferry:
Towards a Sustainable IoT with Last-Mile Software Deployment. ISCC 2021: 1-6
2020
[c21]
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Rustem Dautov, Hui Song:
Towards Agile Management of Containerised Software at the Edge. ICPS 2020: 263-268
[c20]
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Hui Song, Rustem Dautov, Nicolas Ferry, Arnor Solberg, Franck Fleurey:
Model-based fleet deployment of edge computing applications. MoDELS 2020: 132-142
[c19]
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Rustem Dautov, Hui Song, Nicolas Ferry:
A Light-Weight Approach to Software Assignment at the Edge. UCC 2020: 380-385

2010 – 2019

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2019
[j7]
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Rustem Dautov, Salvatore Distefano, Rajkumar Buyya:
Hierarchical data fusion for Smart Healthcare. J. Big Data 6: 19 (2019)
[j6]
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Giovanni Merlino, Rustem Dautov, Salvatore Distefano, Dario Bruneo:
Enabling Workload Engineering in Edge, Fog, and Cloud Computing through OpenStack-based Middleware. ACM Trans. Internet Techn. 19(2): 28:1-28:22 (2019)
[c18]
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Rustem Dautov, Hui Song:
Towards IoT Diversity via Automated Fleet Management. MDE4IoT/ModComp@MoDELS 2019: 47-54
2018
[j5]
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  - journals/access/DautovDBLMP18
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Rustem Dautov, Salvatore Distefano, Dario Bruneo, Francesco Longo, Giovanni Merlino, Antonio Puliafito:
Data Processing in Cyber-Physical-Social Systems Through Edge Computing. IEEE Access 6: 29822-29835 (2018)
[j4]
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Rustem Dautov, Salvatore Distefano, Dario Bruneo, Francesco Longo, Giovanni Merlino, Antonio Puliafito, Rajkumar Buyya:
Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms. Softw. Pract. Exp. 48(8): 1475-1492 (2018)
[j3]
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Rustem Dautov, Salvatore Distefano, Dario Bruneo, Francesco Longo, Giovanni Merlino, Antonio Puliafito, Rajkumar Buyya:
Cover Image Volume 48, Issue 8. Softw. Pract. Exp. 48(8): i (2018)
2017
[c17]
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Rustem Dautov, Salvatore Distefano:
Targeted Content Delivery to IoT Devices Using Bloom Filters. ADHOC-NOW 2017: 39-52
[c16]
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Rustem Dautov, Symeon Veloudis, Iraklis Paraskakis, Salvatore Distefano:
Policy Management and Enforcement Using OWL and SWRL for the Internet of Things. ADHOC-NOW 2017: 342-355
[c15]
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Rustem Dautov, Salvatore Distefano:
Quantifying volume, velocity, and variety to support (Big) data-intensive application development. IEEE BigData 2017: 2843-2852
[c14]
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Rustem Dautov, Salvatore Distefano:
Semantic Web Languages for Policy Enforcement in the Internet of Things. HCC 2017: 183-188
[c13]
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Rustem Dautov, Salvatore Distefano, Oleg Senko, Oleg Surnin:
Property-Based Network Discovery of IoT Nodes Using Bloom Filters. HCC 2017: 394-399
[c12]
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Salvatore Distefano, Giovanni Merlino, Antonio Puliafito, Davide Cerotti, Rustem Dautov:
Crowdsourcing and Stigmergic Approaches for (Swarm) Intelligent Transportation Systems. HCC 2017: 616-626
[c11]
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Rustem Dautov, Salvatore Distefano, Giovanni Merlino, Dario Bruneo, Francesco Longo, Antonio Puliafito:
Towards a Global Intelligent Surveillance System. ICDSC 2017: 119-124
[c10]
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Rustem Dautov, Salvatore Distefano:
Three-level hierarchical data fusion through the IoT, edge, and cloud computing. IML 2017: 1:1-1:5
[c9]
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Rustem Dautov, Salvatore Distefano, Dario Bruneo, Francesco Longo, Giovanni Merlino, Antonio Puliafito:
Pushing Intelligence to the Edge with a Stream Processing Architecture. iThings/GreenCom/CPSCom/SmartData 2017: 792-799
[c8]
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Margarita Pavlovskaya, Ruslan Gaisin, Rustem Dautov:
Finding Correlations Between Driver Stress and Traffic Accidents: An Experimental Study. KES-AMSTA 2017: 190-199
[c7]
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Rustem Dautov, Salvatore Distefano:
Distributed Data Fusion for the Internet of Things. PaCT 2017: 427-432
[c6]
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Rustem Dautov, Salvatore Distefano:
Vs-Driven Big Data Process Development. InfQ@VALUETOOLS 2017: 57-71
2015
[b1]
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Rustem Dautov:
EXCLAIM framework: a monitoring and analysis framework to support self-governance in Cloud Application Platforms. University of Sheffield, UK, 2015
2014
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Rustem Dautov, Iraklis Paraskakis, Mike Stannett:
Towards a framework for monitoring cloud application platforms as sensor networks. Clust. Comput. 17(4): 1203-1213 (2014)
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Rustem Dautov, Iraklis Paraskakis, Mike Stannett:
Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platforms. J. Cloud Comput. 3: 13 (2014)
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Kahina Hamadache, Paraskevi Zerva, Ariana Polyviou, Viliam Simko, Rustem Dautov, Fotis Gonidis, Ivan Dario Paez Anaya:
Cost in the Cloud Rationalisation and Research Trails. CBD 2014: 108-114
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Rustem Dautov, Iraklis Paraskakis, Mike Stannett:
Cloud Sensor Ontology and Linked Data to Support Autonomicity in Cloud Application Platforms. KESW 2014: 29-43
2013
[c3]
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Rustem Dautov, Iraklis Paraskakis:
A vision for monitoring cloud application platforms as sensor networks. CAC 2013: 25:1-25:8
[c2]
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Rustem Dautov, Iraklis Paraskakis, Mike Stannett:
Utilising Stream Reasoning Techniques to Create a Self-Adaptation Framework for Cloud Environments. UCC 2013: 375-380
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Rustem Dautov, Dimitrios Kourtesis, Iraklis Paraskakis, Mike Stannett:
Addressing self-management in cloud platforms: a semantic sensor web approach. HotTopiCS 2013: 11-18

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