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Smart scheduling to optimise resources and latency on cloud-edge and energy on edge nodes

Francesco Iadanza, ENG, Estela Carmona Cejudo, i2Cat

 

Edge computing brings to applications orchestration additional requirements such as local data processing, lower network latency [1] and improved resiliency and autonomy to overcome unattended and disconnected operations [2]. Kubernetes [3] orchestration and its open-source implementations for the edge help to increase the resiliency and autonomy with automatic scaling, self-monitoring and balancing and thousands of production-ready tools and applications.

 

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