74 citations · 78 across the 4 of their papers we have counts for
4 papers
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning
Gabriele Castellano, Juan-José Nieto, Jordi Luque +6
Many real-time applications (e.g., Augmented/Virtual Reality, cognitive assistance) rely on Deep Neural Networks (DNNs) to process inference tasks. Edge computing is considered a k…
System Log Parsing: A Survey
Tianzhu Zhang, Han Qiu, Gabriele Castellano +3
Modern information and communication systems have become increasingly challenging to manage. The ubiquitous system logs contain plentiful information and are thus widely exploited…
Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees
T. Si Salem, G. Castellano, G. Neglia +2
An increasing number of applications rely on complex inference tasks that are based on machine learning (ML). Currently, there are two options to run such tasks: either they are se…
A Distributed Architecture for Edge Service Orchestration with Guarantees
Gabriele Castellano, Flavio Esposito, Fulvio Risso
The Network Function Virtualization paradigm is attracting the interest of service providers, that may greatly benefit from its flexibility and scalability properties. However, the…