Search Results for author: Fabio Petrillo

Found 6 papers, 2 papers with code

SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture

no code implementations25 Sep 2023 Amine Barrak, Mayssa Jaziri, Ranim Trabelsi, Fehmi Jaafar, Fabio Petrillo

The advent of serverless computing has ushered in notable advancements in distributed machine learning, particularly within parameter server-based architectures.

Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning

1 code implementation25 Sep 2023 Amine Barral, Ranim Trabelsi, Fehmi Jaafar, Fabio Petrillo

In this paper, we introduce a novel architecture that combines serverless computing with P2P networks for distributed training and present a method for efficient parallel gradient computation under resource constraints.

Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance

no code implementations27 Feb 2023 Amine Barrak, Fabio Petrillo, Fehmi Jaafar

However, the parameter server architecture may have limitations in terms of fault tolerance, including a single point of failure and complex recovery processes.

Cloud Computing Decision Making

A Survey of Video Game Testing

no code implementations11 Mar 2021 Cristiano Politowski, Fabio Petrillo, Yann-Gäel Guéhéneuc

However, to the best of our knowledge, little is known about video-game testing.

Software Engineering

What Skills do IT Companies look for in New Developers? A Study with Stack Overflow Jobs

no code implementations4 Nov 2020 João Eduardo Montandon, Cristiano Politowski, Luciana Lourdes Silva, Marco Tulio Valente, Fabio Petrillo, Yann-Gaël Guéhéneuc

Objective: This paper investigates which hard and soft skills are more required in IT companies by analyzing the description of 20, 000 job opportunities.

Software Engineering

Dataset of Video Game Development Problems

1 code implementation2 Jan 2020 Cristiano Politowski, Fabio Petrillo, Gabriel Cavalheiro Ullmann, Josias de Andrade Werly, Yann-Gaël Guéhéneuc

This dataset is useful to understand the problems faced by developers during video-game development, providing researchers and practitioners a starting point to study video-game development in the context of software engineering.

Software Engineering

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