2024
Marozzo, Fabrizio; Vinci, Andrea
Design of Platform-Independent IoT Applications in the Edge-Cloud Continuum Proceedings Article Forthcoming
In: Proceedings of 3rd DISCOLI Workshop on DIStributed COLlective Intelligence (DISCOLI 2024), Forthcoming.
BibTeX | Tag: Edge and cloud computing, insider
@inproceedings{marozzo2024,
title = {Design of Platform-Independent IoT Applications in the Edge-Cloud Continuum},
author = {Fabrizio Marozzo and Andrea Vinci},
year = {2024},
date = {2024-12-31},
booktitle = {Proceedings of 3rd DISCOLI Workshop on DIStributed COLlective Intelligence (DISCOLI 2024)},
keywords = {Edge and cloud computing, insider},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Mastroianni, Carlo; Plastina, Francesco; Settino, Jacopo; Vinci, Andrea
Quantum Variational Algorithms for the Allocation of Resources in a Cloud/Edge Architecture Miscellaneous Forthcoming
Forthcoming.
Links | BibTeX | Tag: Edge and cloud computing, insider, quantum computing
@misc{mastroianni2024quantum,
title = {Quantum Variational Algorithms for the Allocation of Resources in a Cloud/Edge Architecture},
author = {Carlo Mastroianni and Francesco Plastina and Jacopo Settino and Andrea Vinci},
doi = {https://doi.org/10.48550/arXiv.2401.14339},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
keywords = {Edge and cloud computing, insider, quantum computing},
pubstate = {forthcoming},
tppubtype = {misc}
}
2023
Mastroianni, Carlo; Scarcello, Luigi; Vinci, Andrea
Quantum Computing Management of a Cloud/Edge Architecture Proceedings Article
In: Bartolini, Andrea; Rietveld, Kristian F. D.; Schuman, Catherine D.; Moreira, Jose (Ed.): Proceedings of the 20th ACM International Conference on Computing Frontiers, CF 2023, pp. 193–196, ACM, 2023.
Links | BibTeX | Tag: Edge and cloud computing, insider, quantum computing
@inproceedings{MastroianniSV23,
title = {Quantum Computing Management of a Cloud/Edge Architecture},
author = {Carlo Mastroianni and Luigi Scarcello and Andrea Vinci},
editor = {Andrea Bartolini and Kristian F. D. Rietveld and Catherine D. Schuman and Jose Moreira},
url = {https://doi.org/10.1145/3587135.3592190},
doi = {10.1145/3587135.3592190},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Proceedings of the 20th ACM International Conference on Computing Frontiers, CF 2023},
pages = {193–196},
publisher = {ACM},
keywords = {Edge and cloud computing, insider, quantum computing},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Cicirelli, F.; Guerrieri, A.; Mercuri, A.; Spezzano, G.; Vinci, A.
ITEMa: A methodological approach for cognitive edge computing IoT ecosystems Journal Article
In: Future Generation Computer Systems, vol. 92, 2019, ISSN: 0167739X.
Abstract | Links | BibTeX | Tag: activity recognition, Cognitive Systems, domus, Edge and cloud computing, IoT-based ecosystems, Smart Office
@article{Cicirelli2019c,
title = {ITEMa: A methodological approach for cognitive edge computing IoT ecosystems},
author = {F. Cicirelli and A. Guerrieri and A. Mercuri and G. Spezzano and A. Vinci},
doi = {10.1016/j.future.2018.10.003},
issn = {0167739X},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {Future Generation Computer Systems},
volume = {92},
abstract = {The ever-increasing spread of Internet of Things (IoT)-based technologies paired with the diffusion of the edge-based computing boosts the development of pervasive cyber ecosystems having the goal of improving the life quality of people and assisting them in daily activities. In this context, cognitive behaviors are purposely required to make such ecosystems able to adapt to people needs and to envisage their behaviors. Despite the growing interest in cognitive ecosystems, still there is a lack of methodological approaches devoted to supporting the design and implementation of such complex systems. This paper proposes ITEMa, an Iot-based smarT Ecosystem Modeling Approach based on a three-layered architecture offering some well-suited abstractions tailored to the development of IoT-based ecosystems which exhibit cognitive behaviors and are able to exploit computational resources located either at the edge of the network or in the Cloud. The effectiveness of the approach is demonstrated through a case study concerning the development of a Smart Office devoted to forecast some usual office activities and to properly adapt the office environmental conditions to them.},
keywords = {activity recognition, Cognitive Systems, domus, Edge and cloud computing, IoT-based ecosystems, Smart Office},
pubstate = {published},
tppubtype = {article}
}