Abstract
Nowadays there is an increasing trend in the volume and velocity of data, typically consumed by data-intensive AI/ML-based services, requiring a larger diffusion of more effective Edge computing approaches. In addition, we are experiencing an increment of critical applications using an increasing volume of sensitive data and requiring advanced security and privacy protections. 5G Edge technology can foster a more diffused Edge computing adoption but several challenges in terms of interoperability. Handling data-intensive pipelines on the 5Genabled Edge continuum, considering specific QoS requirements including security and privacy, is still in its infancy. In this paper, we propose an initial solution for deploying a data-intensive pipeline in a 5G-enabled Edge continuum satisfying specific QoS requirements. Our approach is based on a QoS-aware meta orchestration modeling of a given pipeline and an orchestration builder generating deployable Edge-specific orchestrations. In this paper, we also present an initial walkthrough scenario in the context of a wet lab analysis pipeline to be deployed on the 5G-enabled Edge continuum.
Filippo Berto
Research Fellow
My research interests include Cybersecurity, Computer Networks, Edge-Cloud Computing and Distributed Systems.