Project co-financed by the European Union, the Italian State and the Lombardy Region, within the framework of the Regional ERDF 2021-2027 Programme.
Fastweb-Vodafone participates in the E-CLONET project, a technological experimentation initiative funded by the Department for Digital Transformation of the Presidency of the Council of Ministers and coordinated by the University of Rome Tor Vergata. The project involves industrial and academic partners with the objective of exploring the potential of Edge Cloud Computing (ECC) within telco networks. The project aims to demonstrate, through experimentation on a real network, how the integration of Edge Cloud platforms within a telecom operator’s infrastructure can significantly improve the performance of digital services, reduce latency, and optimize the use of network resources.
Within the E-CLONET project, officially launched on 30 December 2025 and with an expected duration of 12 months, Fastweb plays a central role by providing its network infrastructure to host the Edge Cloud Computing platform within one or more PoPs (Points of Presence) of the fixed access network.
This approach makes it possible to bring computing and storage capabilities closer to end users, reducing the distance between digital applications and connected devices. The proximity of computational resources enables faster response times, greater connection stability, and a significantly improved quality of experience.
Within the project, Fastweb-Vodafone contributes in particular to:
Through E-CLONET and the integration between network infrastructures, cloud platforms, and Edge Computing technologies, Fastweb-Vodafone continues to invest in improving the quality, efficiency, and performance of high-traffic digital applications and in the evolution of its network toward increasingly distributed models.
The first concerns one of the most relevant services for Internet traffic, namely the distribution of video streaming content. Fastweb will implement an Edge Cloud platform within the architecture of distributed caches already present in its network infrastructure, designed to optimize the distribution of OTT content. This solution will generate tangible benefits on two fronts: on the customer side, by ensuring a significant improvement in content access times and in streaming smoothness; on the ISP side, by enabling a significant reduction in data traffic between access and core network, thereby optimizing the use of infrastructure resources and reducing operating costs.
The second use case falls within the Safety At Work domain, aimed at detecting and verifying, through high-resolution cameras, the safety equipment worn in the workplace. The images captured by the cameras make it possible to perform inference through machine learning (ML) models, with the aim of evaluating whether the use of safety equipment is compliant and correct. If this is not the case, immediate and specific actions are triggered, for example alert messages sent to the appropriate recipients. The use of Edge Computing makes it possible to benefit from the availability of remote computational capacity, the resulting latency reduction, and bandwidth savings.
