A vision for monitoring cloud application platforms as sensor networks. - Rustem Dautov; Iraklis Paraskakis (CAC, 2013)

Utilising Stream Reasoning Techniques to Create a Self-Adaptation Framework for Cloud Environments. - Rustem Dautov; Iraklis Paraskakis; Mike Stannett (UCC, 2013)

Addressing self-management in cloud platforms: a semantic sensor web approach. - Rustem Dautov; Dimitrios Kourtesis; Iraklis Paraskakis; Mike Stannett (HotTopiCS, 2013)

Cost in the Cloud Rationalisation and Research Trails. - Kahina Hamadache; Paraskevi Zerva; Ariana Polyviou; Viliam Simko; Rustem Dautov; Fotis Gonidis; Ivan Dario Paez Anaya (CBD, 2014)

Cloud Sensor Ontology and Linked Data to Support Autonomicity in Cloud Application Platforms. - Rustem Dautov; Iraklis Paraskakis; Mike Stannett (KESW, 2014)

Towards a framework for monitoring cloud application platforms as sensor networks. - Rustem Dautov; Iraklis Paraskakis; Mike Stannett (Clust. Comput., 2014)

Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platforms. - Rustem Dautov; Iraklis Paraskakis; Mike Stannett (J. Cloud Comput., 2014)

EXCLAIM framework: a monitoring and analysis framework to support self-governance in Cloud Application Platforms. - Rustem Dautov (2015)

Targeted Content Delivery to IoT Devices Using Bloom Filters. - Rustem Dautov; Salvatore Distefano (ADHOC-NOW, 2017)

Policy Management and Enforcement Using OWL and SWRL for the Internet of Things. - Rustem Dautov; Symeon Veloudis; Iraklis Paraskakis; Salvatore Distefano (ADHOC-NOW, 2017)

Quantifying volume, velocity, and variety to support (Big) data-intensive application development. - Rustem Dautov; Salvatore Distefano (IEEE BigData, 2017)

Semantic Web Languages for Policy Enforcement in the Internet of Things. - Rustem Dautov; Salvatore Distefano (HCC, 2017)

Property-Based Network Discovery of IoT Nodes Using Bloom Filters. - Rustem Dautov; Salvatore Distefano; Oleg Senko; Oleg Surnin (HCC, 2017)

Crowdsourcing and Stigmergic Approaches for (Swarm) Intelligent Transportation Systems. - Salvatore Distefano; Giovanni Merlino; Antonio Puliafito; Davide Cerotti; Rustem Dautov (HCC, 2017)

Towards a Global Intelligent Surveillance System. - Rustem Dautov; Salvatore Distefano; Giovanni Merlino; Dario Bruneo; Francesco Longo 001; Antonio Puliafito (ICDSC, 2017)

Three-level hierarchical data fusion through the IoT, edge, and cloud computing. - Rustem Dautov; Salvatore Distefano (IML, 2017)

Pushing Intelligence to the Edge with a Stream Processing Architecture. - Rustem Dautov; Salvatore Distefano; Dario Bruneo; Francesco Longo 001; Giovanni Merlino; Antonio Puliafito (iThings/GreenCom/CPSCom/SmartData, 2017)

Finding Correlations Between Driver Stress and Traffic Accidents: An Experimental Study. - Margarita Pavlovskaya; Ruslan Gaisin; Rustem Dautov (KES-AMSTA, 2017)

Distributed Data Fusion for the Internet of Things. - Rustem Dautov; Salvatore Distefano (PaCT, 2017)

Vs-Driven Big Data Process Development. - Rustem Dautov; Salvatore Distefano (InfQ@VALUETOOLS, 2017)

Data Processing in Cyber-Physical-Social Systems Through Edge Computing. - Rustem Dautov; Salvatore Distefano; Dario Bruneo; Francesco Longo 001; Giovanni Merlino; Antonio Puliafito (IEEE Access, 2018)

Cover Image Volume 48, Issue 8. - Rustem Dautov; Salvatore Distefano; Dario Bruneo; Francesco Longo 001; Giovanni Merlino; Antonio Puliafito; Rajkumar Buyya (Softw. Pract. Exp., 2018)

Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms. - Rustem Dautov; Salvatore Distefano; Dario Bruneo; Francesco Longo 001; Giovanni Merlino; Antonio Puliafito; Rajkumar Buyya (Softw. Pract. Exp., 2018)

Towards IoT Diversity via Automated Fleet Management. - Rustem Dautov; Hui Song (MDE4IoT/ModComp@MoDELS, 2019)

Hierarchical data fusion for Smart Healthcare. - Rustem Dautov; Salvatore Distefano; Rajkumar Buyya (J. Big Data, 2019)

Enabling Workload Engineering in Edge, Fog, and Cloud Computing through OpenStack-based Middleware. - Giovanni Merlino; Rustem Dautov; Salvatore Distefano; Dario Bruneo (ACM Trans. Internet Techn., 2019)

Towards Agile Management of Containerised Software at the Edge. - Rustem Dautov; Hui Song (ICPS, 2020)

Model-based fleet deployment of edge computing applications. - Hui Song; Rustem Dautov; Nicolas Ferry 001; Arnor Solberg; Franck Fleurey (MoDELS, 2020)

A Light-Weight Approach to Software Assignment at the Edge. - Rustem Dautov; Hui Song; Nicolas Ferry 001 (UCC, 2020)

Towards a Sustainable IoT with Last-Mile Software Deployment. - Rustem Dautov; Hui Song; Nicolas Ferry 001 (ISCC, 2021)

Data agility through clustered edge computing and stream processing. - Rustem Dautov; Salvatore Distefano; Dario Bruneo; Francesco Longo 001; Giovanni Merlino; Antonio Puliafito (Concurr. Comput. Pract. Exp., 2021)

Automating IoT Data-Intensive Application Allocation in Clustered Edge Computing. - Rustem Dautov; Salvatore Distefano (IEEE Trans. Knowl. Data Eng., 2021)

Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum. - Nicolas Ferry 001; Rustem Dautov; Hui Song (CCGRID, 2022)

Machine Learning for Fatigue Detection using Fitbit Fitness Trackers. - Erik Johannes Husom; Rustem Dautov; Adela-Aniela Nedisan; Fotis Gonidis; Spyridon Papatzelos; Nikolaos Malamas (icSPORTS, 2022)

Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps. - Rustem Dautov; Erik Johannes Husom; Fotis Gonidis; Spyridon Papatzelos; Nikolaos Malamas (WiMob, 2022)

Model-based fleet deployment in the IoT-edge-cloud continuum. - Hui Song; Rustem Dautov; Nicolas Ferry 001; Arnor Solberg; Franck Fleurey (Softw. Syst. Model., 2022)

Stream Processing on Clustered Edge Devices. - Rustem Dautov; Salvatore Distefano (IEEE Trans. Cloud Comput., 2022)

An inclusive Lifecycle Approach for IoT Devices Trust and Identity Management. - 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; et al. (ARES, 2023)

The DYNABIC approach to resilience of critical infrastructures. - Erkuden Rios; Eider Iturbe; Angel Rego; Nicolas Ferry 001; Jean-Yves Tigli; Stéphane Lavirotte; Gérald Rocher; Phu Hong Nguyen; Hui Song; Rustem Dautov; Wissam Mallouli; Ana Rosa Cavalli (ARES, 2023)

Towards Smarter Security Orchestration and Automatic Response for CPS and IoT. - 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 001 (CloudCom, 2023)

Towards Community-Driven Generative AI. - Rustem Dautov; Erik Johannes Husom; Sagar Sen; Hui Song (FedCSIS (Position Papers), 2023)

Function-as-a-Service for the Cloud-to-Thing Continuum: A Systematic Mapping Study. - Bárbara da Silva Oliveira; Nicolas Ferry 001; Hui Song; Rustem Dautov; Ankica Barisic; Atslands Rego da Rocha (IoTBDS, 2023)

Context-Aware Digital Twins to Support Software Management at the Edge. - Rustem Dautov; Hui Song (RCIS, 2023)

INTEND: Intent-Based Data Operation in the Computing Continuum. - 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 002; et al. (CAiSE Research Projects Exhibition, 2024)

Latency-Aware Node Selection in Federated Learning. - Rustem Dautov; Erik Johannes Husom (IFIP Networking, 2024)

Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data. - Rustem Dautov; Erik Johannes Husom (PETRA, 2024)

INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. - 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 002; et al. (RuleML+RR (Companion), 2024)

SMARAGD: Data Interoperability for Decision Support in the Norwegian Agrifood Sector. - Rustem Dautov; Simeon Tverdal; André Skoog Bondevik; Svein Arild Frøshaug; Vera Szabo; Jan Robert Fiksdal; Martin Fodstad Stølen (RuleML+RR (Companion), 2024)

Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning. - Rustem Dautov; Erik Johannes Husom (SEAMS@ICSE, 2024)