This paper investigates the potential of Multi-access Edge Computing (MEC)-enabled architectures to expand Content Delivery Networks (CDNs) features by exploiting real-time telemetry across the radio access, core, and edge layers. We present experimental results from three representative use cases each posing distinct challenges in terms of mobility, traffic surges, and content pre-positioning. The proposed system leverages telemetry-informed decisions to orchestrate CDN resources dynamically, including a Proxy for Local Cache and Segment Prefetching to reduce latency and improve delivery predictability, a Multi-CDN Steering Proxy that selects optimal content paths based on live Quality of Service (QoS) metrics, and an Orchestrator for Proxy Scaling and Load Balancing that ensures elastic resource adaptation in response to demand fluctuations. These capabilities collectively enable low-latency, resilient media delivery even under network congestion conditions. The experimentation also conducts the identification of key operational challenges for MEC-based CDN deployments, including virtualization gaps, lack of telemetry standards, proxy discovery limitations, and cross-domain orchestration needs critical for scalable and interoperable 5G streaming solutions. This paper provides a practical evaluation of telemetry-driven MEC-based CDNs, offering insights to guide future designs and standardization for reliable, immersive streaming in next-generation cloud-native networks.

In recent years, artists and communities have expressed the desire to work with tools that facilitate co-creation and allow distributed community performances. These performances can be spread over several physical stages, connecting them on real-time towards a single experience with the audience distributed along them. This enables a wider remote audience consuming the performance through their own devices, and even grants the participation of remote users in the show. In this paper we introduce the Co-creation Stage, a web-based tool that allows managing heterogeneous content sources, with a particular focus on live and on-demand media, across several distributed devices. The Co-creation Stage is part of the toolset developed in the Traction H2020 project which enables community performing art shows, where professional artists and non-professional participants perform together from different stages and locations. Here we present the design process, the architecture and the main functionalities of the tool as well as the results of the first user evaluation with Opera houses and artists.

The burgeoning capabilities of Web browsers to exploit full-featured devices can turn the huge pool of social connected users into a powerful network of processing assets. HTML5 and JavaScript stacks support the deployment of social client-side processing infrastructure, while WebGL and WebCL fill the gap to gain full GPU and multi-CPU performance. Mobile Grid and Mobile Cloud Computing solutions leverage smart devices to relieve the processing tasks to be performed by the service infrastructure. Motivated to gain cost-efficiency, a social network service provider can outsource the video analysis to elements of a mobile grid as an infrastructure to complement an elastic cloud service. As long as users access to videos, batch image analysis tasks are dispatched from the server, executed in the background of the client-side hardware, and finally, results are consolidated by the server. This paper presents SaW (Social at Work) to provide a pure Web-based solution as a mobile grid to complement a cloud media service for image analysis on videos.