145 citations · 595 across the 26 of their papers we have counts for
5 papers · 1 filter
Predictive Auto-scaling with OpenStack Monasca
Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta +2
Cloud auto-scaling mechanisms are typically based on reactive automation rules that scale a cluster whenever some metric, e.g., the average CPU usage among instances, exceeds a pre…
A communication efficient distributed learning framework for smart environments
Lorenzo Valerio, Andrea Passarella, Marco Conti
Due to the pervasive diffusion of personal mobile and IoT devices, many ``smart environments'' (e.g., smart cities and smart factories) will be, among others, generators of huge am…
Energy efficient distributed analytics at the edge of the network for IoT environments
Lorenzo Valerio, Marco Conti, Andrea Passarella
Due to the pervasive diffusion of personal mobile and IoT devices, many "smart environments" (e.g., smart cities and smart factories) will be, generators of huge amounts of data. C…
Architecture and Performance Evaluation of Distributed Computation Offloading in Edge Computing
Claudio Cicconetti, Marco Conti, Andrea Passarella
Edge computing is an emerging paradigm to enable low-latency applications, like mobile augmented reality, because it takes the computation on processing devices that are closer to…
Optimising cost vs accuracy of decentralised analytics in fog computing environments
Lorenzo Valerio, Andrea Passarella, Marco Conti
The exponential growth of devices and data at the edges of the Internet is rising scalability and privacy concerns on approaches based exclusively on remote cloud platforms. Data g…