Alessio Pagliari

PhD Candidate

Université Côte d’Azur, CNRS, I3S, France

Bio

I'm a PhD candidate at Université Côte d'Azur, my work is carried out at the lab i3s in Sophia Antipolis, France, co-supervised by Fabrice Huet (SCALE team) and Guillaume Urvoy-Keller (Signet Team).

I obtained my Master's degree at Università di Bologna in Italy in 2017. In the academic year 2016/2017, thanks to the Erasmus+ project, I was able to follow the Master 2 Ubinet at Université Nice Sophia Antipolis. Where I had the opportunity for a 6-month research internship in the i3s laboratory.

Research

PhD Thesis

My thesis is about Joint Application and Network Optimization of Big Data Analytics, where we study the network's behaviour when using BigData applications. After an initial wide analysis of the spectrum, we aim to exploit the network layer to optimize the upper middleware and application layer.
We are currently focusing on Data Stream Processing with Storm.

Publications

Conference Papers:

Alessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller "On the cost of reliability in Data Stream Processing Systems", IEEE/ACM CCGrid, 2019
[15% acceptance ratio on first round]

Master Thesis:

Alessio Pagliari "Network as an on-demand service for multi-cloud workloads", Università degli Studi di Bologna, 2017

Posters:

Alessio Pagliari, Quentin Jacquemart, Guillaume Urvoy-Keller, "Towards non-intrusive measurements of available bandwidth for multi-cloud applications", ACM Internet Measurement Conference, 2017

Curriculum Vitae

The best version can be found on LinkedIn. If you need it in a pdf format, please send me an email.

Teaching Experience

Teaching Assistant

at Université Nice Sophia Antipolis, UFR Science: charge of teaching as part of the PhD contract (DCCE): 64 hours per year.

A.Y. 2019/2020:

Outils pour Ingegnerie Logicielle (Git, Maven, JUnit), Master 1, TD²
Parallelism (C/OpenMP), Master 1, TD²
Algorithmique et Programmation avec R, Licence 2, TP¹

A.Y. 2018/2019:

Parallelism (C/OpenMP), Master 1, TD²
Algorithmique et Programmation Impérative en Python, Licence 1, TP¹

A.Y. 2017/2018:

Programmation Web Serveur (PHP), Licence 1, TP¹
Algorithmique et Programmation Impérative en Python, Licence 1, TP¹
Base de Données (SQL and PLSQL), Licence 3 MIAGE, TP¹

¹Travaux Pratiques
²Travaux Dirigés

Projects

NAMB

NAMB (Not only A Micro-Benchmark) is a parametrizable and automatically generated benchmark application for Data Stream Processing Systems (DSP).

Contact

Alessio Pagliari

Université Côte d'Azur SCALE and SIGNET research teams alessio.pagliari@univ-cotedazur.fr 2000, route des Lucioles - Les Algorithmes - bât. Euclide B - BP 121 06903 Sophia Antipolis Cedex - France