Designing Smart Services for Smart Factories through Continuum Computing

This paper discusses a simulation-based design approach for Smart Services, to be deployed in the Computing Continuum and aimed at improving human workers’ productivity and safety within a Smart Factory context. A wearable computing system (providing Augmented Reality and Fatigue Detection services) synergistically operates with a wireless sensor network (for monitoring gas level and, hence, the Air Healthiness): such a use case highlights how the simulation activity allows the preliminary evaluation of key design choices of the system and, especially, of these services (e.g., how many workers can be served given a particular system configuration or how the choice of a particular algorithm or hardware impacts on the KPIs). The result analysis confirms the importance of such an approach as a key enabler for supporting the informed decision-making within the service design process, especially when applied to complex system deployment spanning across the Continuum Computing, from the Edge to the Cloud.

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Publication Details

Journal
Procedia Computer Science
Published
2026-01-01
DOI
https://doi.org/10.1016/j.procs.2026.02.107
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing Smart Services for Smart Factories through Continuum Computing

Raffaele Gravina, Luca Greco, Antonio Guerrieri, Claudio Savaglio
Procedia Computer Science
IoT and Edge/Fog Computing
article

Designing Smart Services for Smart Factories through Continuum Computing

Raffaele Gravina, Luca Greco, Antonio Guerrieri, Claudio Savaglio
article en

Abstract

This paper discusses a simulation-based design approach for Smart Services, to be deployed in the Computing Continuum and aimed at improving human workers’ productivity and safety within a Smart Factory context. A wearable computing system (providing Augmented Reality and Fatigue Detection services) synergistically operates with a wireless sensor network (for monitoring gas level and, hence, the Air Healthiness): such a use case highlights how the simulation activity allows the preliminary evaluation of key design choices of the system and, especially, of these services (e.g., how many workers can be served given a particular system configuration or how the choice of a particular algorithm or hardware impacts on the KPIs). The result analysis confirms the importance of such an approach as a key enabler for supporting the informed decision-making within the service design process, especially when applied to complex system deployment spanning across the Continuum Computing, from the Edge to the Cloud.

Procedia Computer ScienceVol. 277
University of Salerno (IT), National Research Council (IT), University of Calabria (IT)
Decent work and economic growth
Openalex Percentile: Top 12%
IoT and Edge/Fog Computing
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Designing Smart Services for Smart Factories through Continuum Computing — Raffaele Gravina, Luca Greco, et al. · Procedia Computer Science (2026) | TGRS Research Map | TGRS