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This paper proposes Ermes, a distributed platform that natively integrates state management into the FaaS paradigm, enabling the joint distribution of computational workloads and application state across the edge-to-cloud continuum.
This work introduces a Binary Linear Programming model to compute optimal placements and proposes a topology-aware greedy heuristic that efficiently approximates the optimal solution, making it suitable for periodic system reconfigurations.