04 Atto di Convegno (Proceedings)

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A Data Mesh Approach for Enabling Data-Centric Applications at the Tactical Edge

Effectively managing, sharing, and analyzing large volumes of data in real time is essential for making informed decisions, predicting potential threats, and adapting to changes on the battlefield. It therefore represents a critical capability for military operations. However, implementing effective analytics at the tactical edge requires to address the challenges of Denied, Degraded, Intermittent, and Limited (DDIL) networks, particularly in terms of bandwidth and processing capability const...

Modeling Digital Twins of Kubernetes-Based Applications

Kubernetes provides several functions that can help service providers to deal with the management of complex container-based applications. However, most of these functions need a time-consuming and costly customization process to address service-specific requirements. The adoption of Digital Twin (DT) solutions can ease the configuration process by enabling the evaluation of multiple configurations and custom policies by means of simulation-based what-if scenario analysis. To facilitate this ...

Tecnologie abilitanti per lo studio del comportamento bioclimatico degli spazi di transizione degli edifici storici/Key enabling technologies for the analysis of the bioclimatic behaviour of transitino spaces in historical buildings

La ricerca indaga l’applicazione di tecnologie abilitanti, speditive e a basso costo, quali il rilievo SLAM e fotogrammetrico, la modellazione digitale, il monitoraggio, la simulazione e la gestione informativa per lo studio del comportamento bioclimatico degli spazi di transizione degli edifici storici (logge, porticati, cortili, ecc.), volta alla conoscenza e al miglioramento del loro funzionamento passivo e del comfort termoigrometrico per promuovere la mitigazione climatica. La metodologi...

Joint Orchestration of Content-Based Message Management and Traffic Flow Steering in Industrial Backbones

The industrial internet of things has radically modified industrial environments, not only enabling novel services but also dramatically increasing the amount of generated traffic. Nowadays, a major concern within industrial plants is to support network-intensive services, such as real-time remote vibration monitoring of autonomous guided vehicles, while ensuring the prompt and reliable delivery of mission-critical safety-related messages among machines and the control room. To this purpose, ...

Measuring Digital Twin Entanglement in Industrial Internet of Things

Digital Twins (DTs) have recently emerged as a valuable approach for modeling, monitoring, and controlling physical objects in Industrial Internet of Things applications. Measuring the quality of entanglement between the digital and physical counterparts plays a crucial role in the adoption of DTs. In this paper, we propose a concise yet expressive metric for representing the quality of entanglement, namely Overall Digital Twin Entanglement (ODTE), based on two key factors: timeliness and com...

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