2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Optimal Flow Admission Control in Edge Computing via Safe Reinforcement Learning
A. Fox, F. De Pellegrini, F. Faticanti +2
With the uptake of intelligent data-driven applications, edge computing infrastructures necessitate a new generation of admission control algorithms to maximize system performance…
Optimistic Online Caching for Batched Requests
Francescomaria Faticanti, Giovanni Neglia
In this paper we study online caching problems where predictions of future requests, e.g., provided by a machine learning model, are available. Typical online optimistic policies a…
A Cost-Effective Workload Allocation Strategy for Cloud-Native Edge Services
Valentino Armani, Francescomaria Faticanti, Silvio Cretti +2
Nowadays IoT applications consist of a collection of loosely coupled modules, namely microservices, that can be managed and placed in a heterogeneous environment consisting of priv…
Cutting Throughput on the Edge:App-Aware Placement in Fog Computing
Francescomaria Faticanti, Francesco De Pellegrini, Domenico Siracusa +2
Fog computing extends cloud computing technology to the edge of the infrastructure to let IoT applications access objects' data with reduced latency, location awareness and dynamic…