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arXiv · 2609.18932

Replication-Aware Placement of Functions and Data in the Edge-Cloud Continuum

Dario d'Abate·Matteo Cenzato·Matteo Briscini·Arianna Dragoni·Alessandro Margara
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Abstract

Function-as-a-Service (FaaS) has emerged as the prominent programming model for the edge-cloud continuum. FaaS inherently decouples stateless functions from their persistent state. We study how to jointly schedule functions and place data to minimize client latency, considering data replication under heterogeneous consistency requirements. We introduce a Binary Linear Programming (BLP) model to compute optimal placements, establishing a rigorous theoretical baseline. Since the BLP scales cubically with the infrastructure nodes, we propose a topology-aware greedy heuristic that efficiently approximates the optimal solution. Our evaluation shows that the heuristic achieves near-optimal placement quality at a fraction of the computational cost, making it suitable for periodic system reconfigurations.

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Dario d'Abate, Matteo Cenzato, Matteo Briscini, Arianna Dragoni, Alessandro Margara. 2026-09-16. Replication-Aware Placement of Functions and Data in the Edge-Cloud Continuum. https://arxiv.org/abs/2609.18932

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