The OPTIMIST project has successfully developed and integrated a modular, ETSI-compliant MEC (Multi-access Edge Computing) platform, targeting optimized video content delivery over 5G infrastructures. Key results include advanced QoE-driven data analytics modules, dynamic DASH video adaptation, and a fully containerized MEC architecture featuring orchestrators, application managers, and edge platforms. The project demonstrated the integration and experimental validation of analytics and QoE prediction tools, revealing robust improvements in adaptive video streaming performance across varied network conditions. Meanwhile, it consolidated these developments into an end-to-end MEC service platform, deploying and evaluating the full lifecycle of MEC applications. The system was tested using comprehensive load and integration testing frameworks, including Kubernetes-OpenStack hybrid environments, with tangible enhancements in latency, throughput, and resource allocation across the MEC components.
The project's exploitation strategy focuses on advancing MEC-aware multimedia services in telecom and cloud-edge markets. The OPTIMIST software stack is built with open standards and modular components to enable adoption by mobile operators, infrastructure providers, and application developers. Source code repositories, documented deployment workflows, and containerized modules ensure the replicability and extendibility of the platform. Dissemination efforts include the release of open-source repositories (e.g. GitHub), extensive technical documentation, and public deliverables, which offer a blueprint for future research and integration. Through these combined efforts, OPTIMIST paves the way for next-generation edge computing services, while actively fostering uptake by the research community and industrial stakeholders.
