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2023
Journal article
Open Access
Data-aware declarative application management in the cloud-IoT continuum
Massa J, Forti S, Dazzi P, Brogi A
Nowadays billions of devices are connected to the Internet of Things and can reach computing facilities along the Cloud-IoT continuum to process the data they produce, leading to a dramatic increase in the number of deployed applications as well as in the amount of data they need to crunch. Following a continuous reasoning approach to speed up the decision-making process, our research proposes a declarative and data-aware solution to determine service-based application placements over the Cloud-IoT continuum while meeting functional and non-functional application requirements.Source: ERCIM NEWS, pp. 35-36
Massa J, Forti S, Dazzi P, Brogi A
Nowadays billions of devices are connected to the Internet of Things and can reach computing facilities along the Cloud-IoT continuum to process the data they produce, leading to a dramatic increase in the number of deployed applications as well as in the amount of data they need to crunch. Following a continuous reasoning approach to speed up the decision-making process, our research proposes a declarative and data-aware solution to determine service-based application placements over the Cloud-IoT continuum while meeting functional and non-functional application requirements.Source: ERCIM NEWS, pp. 35-36
See at:
ercim-news.ercim.eu 
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2024
Conference article
Open Access
Urgent edge computing
Dazzi P., Ferrucci L., Danelutto M., Tserpes K., Makris A., Theodoropoulos T., Massa J., Carlini E., Mordacchini M.
This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency, availability, resource management, decentralization, self-organization, and robust security, UEC aims to facilitate operations in critical scenarios such as disaster response, environmental monitoring, and smart city management. This paper outlines and discusses the key requirements, challenges, and enablers along with a conceptual architecture. The paper also outlines the potential applications of Urgent Edge Computing.DOI: 10.1145/3659994.3660315
DOI: 10.48550/arxiv.2404.13411
Project(s): NOUS
, Spoke 1 “FutureHPC & BigData” and Spoke 6 “Multiscale Modelling & Engineering Applications f the Italian Research Center on High-Performance Com- puting, Big Data and Quantum Computing (ICSC)
Metrics:
Dazzi P., Ferrucci L., Danelutto M., Tserpes K., Makris A., Theodoropoulos T., Massa J., Carlini E., Mordacchini M.
This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency, availability, resource management, decentralization, self-organization, and robust security, UEC aims to facilitate operations in critical scenarios such as disaster response, environmental monitoring, and smart city management. This paper outlines and discusses the key requirements, challenges, and enablers along with a conceptual architecture. The paper also outlines the potential applications of Urgent Edge Computing.DOI: 10.1145/3659994.3660315
DOI: 10.48550/arxiv.2404.13411
Project(s): NOUS
, Spoke 1 “FutureHPC & BigData” and Spoke 6 “Multiscale Modelling & Engineering Applications f the Italian Research Center on High-Performance Com- puting, Big Data and Quantum Computing (ICSC)Metrics:
See at:
arXiv.org e-Print Archive | IRIS Cnr | Archivio della Ricerca - Università di Pisa | IRIS Cnr | Archivio della Ricerca - Università di Pisa | doi.org | Archivio della Ricerca - Università di Pisa | CNR IRIS