The forthcoming massive usage of edge-to-cloud computing solutions in the frame of large IoT deployments in smart cities and industrial applications may deem the current approaches insufficient. The main goal in such scenarios remains the same: to ensure that the overall offered Quality of Service (QoS) fits the application needs over the edge or edge/cloud deployment. However, the expectations behind the QoS per se are ever increasing, as new applications appear on the edge.
Francesco Iadanza, Engineering Ingegneria Informatica S.p.A.
29 March 2021
Container-based deployments that leverage on Kubernetes [1] orchestration benefit from its major key features like automatic scaling, self-monitoring, balancing and thousands of production-ready tools and applications. On the edge, additional requirements can be addressed by Kubernetes such as network latency [2], local data processing and improved resiliency and autonomy to overcome unattended and disconnected operations [3].
