Matteo Sereno

About Matteo Sereno

Matteo Sereno, With an exceptional h-index of 28 and a recent h-index of 11 (since 2020), a distinguished researcher at Università degli Studi di Torino, specializes in the field of Performance Evaluation, Computer Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Queuing Network Models of Multiservice RANs

Queuing models of links carrying streaming and elastic services

Optimal Allocation of Tasks and Price of Anarchy of Distributed Optimization in Networked Computing Facilities

Enhancing COVID-19 Forecasting Precision through the Integration of Compartmental Models, Machine Learning and Variants

Skipping and Fetching: Insights on Non-conventional Product-Form Solutions

Efficiency of distributed selection of edge or cloud servers under latency constraints

Equalizing Access to Latency-Critical Services Based on In-Network Computing

LA SICUREZZA DEI SISTEMI CYBERFISICI INDUSTRIALI

Matteo Sereno Information

University

Position

Dipartimento di Informatica Italia

Citations(all)

2365

Citations(since 2020)

420

Cited By

2141

hIndex(all)

28

hIndex(since 2020)

11

i10Index(all)

63

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Matteo Sereno Skills & Research Interests

Performance Evaluation

Computer Networks

Top articles of Matteo Sereno

Title

Journal

Author(s)

Publication Date

Queuing Network Models of Multiservice RANs

ACM Transactions on Modeling and Performance Evaluation of Computing Systems

Andrea Marin

Michela Meo

Matteo Sereno

Marco Ajmone Marsan

2024

Queuing models of links carrying streaming and elastic services

Computer Networks

Andrea Marin

Marco Ajmone Marsan

Michela Meo

Matteo Sereno

2024/5/1

Optimal Allocation of Tasks and Price of Anarchy of Distributed Optimization in Networked Computing Facilities

arXiv preprint arXiv:2404.05543

Vincenzo Mancuso

Paolo Castagno

Leonardo Badia

Matteo Sereno

Marco Ajmone Marsan

2024/4/8

Enhancing COVID-19 Forecasting Precision through the Integration of Compartmental Models, Machine Learning and Variants

medRxiv

Daniele Baccega

Paolo Castagno

Antonio Fernandez Anta

Matteo Sereno

2024

Skipping and Fetching: Insights on Non-conventional Product-Form Solutions

Diletta Olliaro

Gianfranco Balbo

Andrea Marin

Matteo Sereno

2023/9/15

Efficiency of distributed selection of edge or cloud servers under latency constraints

Vincenzo Mancuso

Leonardo Badia

Paolo Castagno

Matteo Sereno

Marco Ajmone Marsan

2023/6/13

Equalizing Access to Latency-Critical Services Based on In-Network Computing

Vincenzo Mancuso

Paolo Castagno

Matteo Sereno

Marco Ajmone Marsan

2023/6/12

LA SICUREZZA DEI SISTEMI CYBERFISICI INDUSTRIALI

AUTOMAZIONE INDUSTRIALE

Francesco Bergadano

Matteo Sereno

2023

Stateful versus stateless selection of edge or cloud servers under latency constraints

Vincenzo Mancuso

Paolo Castagno

Matteo Sereno

Marco Ajmone Marsan

2022/6/14

Modeling service mixes in access links: Product form and oscillations

Andrea Marin

Michela Meo

Matteo Sereno

Marco Ajmone Marsan

2022/6/14

Efficiency of Virtualization over MEC plus Cloud

Vincenzo Mancuso

Paolo Castagno

Matteo Sereno

2021/6/22

Modeling simple HetNet configurations with mixed traffic loads

Marco Ajmone Marsan

Michela Meo

Matteo Sereno

2021/6/7

Serving HTC and Critical MTC in a RAN Slice

Vincenzo Mancuso

Paolo Castagno

Matteo Sereno

Marco Ajmone Marsan

2021/6/7

Profit‐aware coalition formation in fog computing providers: A game‐theoretic approach

Concurrency and Computation: Practice and Experience

Cosimo Anglano

Massimo Canonico

Paolo Castagno

Marco Guazzone

Matteo Sereno

2020/11/10

Modeling MTC and HTC radio access in a sliced 5G base station

IEEE Transactions on Network and Service Management

Vincenzo Mancuso

Paolo Castagno

Matteo Sereno

Marco Ajmone Marsan

2020/10/29

A computational framework for modeling and studying pertussis epidemiology and vaccination

BMC bioinformatics

Paolo Castagno

Simone Pernice

Gianni Ghetti

Massimiliano Povero

Lorenzo Pradelli

...

2020/9

A simple model of MTC flows applied to smart factories

IEEE Transactions on Mobile Computing

Paolo Castagno

Vincenzo Mancuso

Matteo Sereno

Marco Ajmone Marsan

2020/5/7

Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region

BMC Infectious Diseases

Simone Pernice

Paolo Castagno

Linda Marcotulli

Milena Maria Maule

Lorenzo Richiardi

...

2020/12

Limitations and sidelink-based extensions of 3GPP cellular access protocols for very crowded environments

Computer Networks

Paolo Castagno

Vincenzo Mancuso

Matteo Sereno

Marco Ajmone Marsan

2020/2/26

See List of Professors in Matteo Sereno University(Università degli Studi di Torino)

Co-Authors

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