The objective of this talk is to introduce a project aimed at troubleshooting and self-healing of smart-devices in the modern highly interconnected society. Connected devices generate error logs, and when several devices from different vendors fail to communicate, troubleshooting becomes a challenge. The project aims to find a solution to this by gathering error logs, analyzing them, and matching them with both software fixes and proper troubleshooting instructions. The project is connected to research areas and domains within Symbiotic Autonomous Systems, Smart-Cities, Internet of Things and People, Automatic Transportation Systems, amongst others; therefore, it is expected to provide a high industrial impact and societal value considering the relevant and increasingly critical applications. Furthermore, it addresses many of the current scientific challenges including big data analytics, machine learning, cloud computing, sematic modelling, and cyber-security.
SMART-TROUBLESHOOTING SYMBIOTIC AUTONOMOUS SYSTEMS IN THE CONNECTED SOCIETY / Flammini F. - STAMPA. - (2018), pp. 10-10. (Intervento presentato al convegno Smart, Sustainable and Safe Cities Conference 2018 tenutosi a Budapest nel 25 Maggio 2018).
SMART-TROUBLESHOOTING SYMBIOTIC AUTONOMOUS SYSTEMS IN THE CONNECTED SOCIETY
Flammini F
2018
Abstract
The objective of this talk is to introduce a project aimed at troubleshooting and self-healing of smart-devices in the modern highly interconnected society. Connected devices generate error logs, and when several devices from different vendors fail to communicate, troubleshooting becomes a challenge. The project aims to find a solution to this by gathering error logs, analyzing them, and matching them with both software fixes and proper troubleshooting instructions. The project is connected to research areas and domains within Symbiotic Autonomous Systems, Smart-Cities, Internet of Things and People, Automatic Transportation Systems, amongst others; therefore, it is expected to provide a high industrial impact and societal value considering the relevant and increasingly critical applications. Furthermore, it addresses many of the current scientific challenges including big data analytics, machine learning, cloud computing, sematic modelling, and cyber-security.File | Dimensione | Formato | |
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