Author

Matteo Briscini

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Preprint Sep 2026

Replication-Aware Placement of Functions and Data in the Edge-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.

Dario d'Abate, Matteo Cenzato, Matteo Briscini et al. · 0 citations

Preprint Sep 2026

Ermes: a Stateful Serverless Platform for the Edge-to-Cloud Continuum

Function-as-a-Service (FaaS) is a widely adopted paradigm to simplify application deployment across the edge-to-cloud continuum. However, its stateless nature forces functions to retrieve their state from external, typically cloud-centric, data stores, reintroducing the very latency that edge computing aims to eliminat...

Matteo Cenzato, Dario d'Abate, Arianna Dragoni et al. · 0 citations