Riccardo Lancellotti

About Riccardo Lancellotti

Riccardo Lancellotti, With an exceptional h-index of 21 and a recent h-index of 13 (since 2020), a distinguished researcher at Università degli Studi di Modena e Reggio Emilia, specializes in the field of fog computing, cloud computing, content delivery networks, mobile web.

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

An Optimization-Based Decision Support System for Multi-trip Vehicle Routing Problems

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum

Placement of IoT Microservices in Fog Computing Systems: A Comparison of Heuristics

A validated performance model for micro-services placement in fog systems

A Decision Support System for Multi-Trip Vehicle Routing Problems

Performance Comparison of Technological Solutions for Spark Applications in AWS

Microservice Performance in Container-and Function-as-a-Service Architectures

On the impact of stale information on distributed online load balancing protocols for edge computing

Riccardo Lancellotti Information

University

Position

___

Citations(all)

1246

Citations(since 2020)

522

Cited By

947

hIndex(all)

21

hIndex(since 2020)

13

i10Index(all)

40

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Riccardo Lancellotti Skills & Research Interests

fog computing

cloud computing

content delivery networks

mobile web

Top articles of Riccardo Lancellotti

Title

Journal

Author(s)

Publication Date

An Optimization-Based Decision Support System for Multi-trip Vehicle Routing Problems

International Journal of Production Research

Amit Upadhyay

Nomesh B Bolia

2014/12/17

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum

Federica Filippini

Riccardo Cavadini

Danilo Ardagna

Riccardo Lancellotti

Gabriele Russo Russo

...

2023/12/4

Placement of IoT Microservices in Fog Computing Systems: A Comparison of Heuristics

Algorithms

Claudia Canali

Caterina Gazzotti

Riccardo Lancellotti

Felice Schena

2023/9/13

A validated performance model for micro-services placement in fog systems

SN Computer Science

Claudia Canali

Giuseppe Di Modica

Riccardo Lancellotti

Stefano Rossi

Domenico Scotece

2023/5/24

A Decision Support System for Multi-Trip Vehicle Routing Problems

Mirko Cavecchia

Thiago Alves de Queiroz

Manuel Iori

Riccardo Lancellotti

Giorgio Zucchi

2023

Performance Comparison of Technological Solutions for Spark Applications in AWS

Riccardo Lancellotti

Stefano Rossi

Giuseppe Calogero Miano

Fabio Miselli

2022/9/22

Microservice Performance in Container-and Function-as-a-Service Architectures

Claudia Canali

Riccardo Lancellotti

Pietro Pedroni

2022/9/22

On the impact of stale information on distributed online load balancing protocols for edge computing

Computer Networks

Roberto Beraldi

Claudia Canali

Riccardo Lancellotti

Gabriele Proietti Mattia

2022/6/19

Optimal placement of micro-services chains in a Fog infrastructure

CLOSER

Claudia Canali

Giuseppe Di Modica

Riccardo Lancellotti

Domenico Scotece

2022

A Variable Neighborhood Heuristic for Facility Locations in Fog Computing

Thiago Alves de Queiroz

Claudia Canali

Manuel Iori

Riccardo Lancellotti

2021/3/15

Impact of theoretical performance models on the design of fog computing infrastructures

Claudia Canali

Riccardo Lancellotti

Stefano Rossi

2021/11/23

An Optimization View to the Design of Edge Computing Infrastructures for IoT Applications

Thiago Alves de Queiroz

Claudia Canali

Manuel Iori

Riccardo Lancellotti

2021/7/30

A random walk based load balancing algorithm for fog computing

Roberto Beraldi

Claudia Canali

Riccardo Lancellotti

Gabriele Proietti Mattia

2020/4/20

Smart cities in the fog: Clearing the vision of innovative sensing applications

N Bicocchi

C Canali

R Lancellotti

2020

Collaboration strategies for fog computing under heterogeneous network-bound scenarios

Claudia Canali

Riccardo Lancellotti

Simone Mione

2020/11/24

Data Flows Mapping in Fog Computing Infrastructures Using Evolutionary Inspired Heuristic

Claudia Canali

Riccardo Lancellotti

2020

Randomized load balancing under loosely correlated state information in fog computing

Roberto Beraldi

Claudia Canali

Riccardo Lancellotti

Gabriele Proietti Mattia

2020/11/16

Distributed load balancing for heterogeneous fog computing infrastructures in smart cities

Roberto Beraldi

Claudia Canali

Riccardo Lancellotti

Gabriele Proietti Mattia

2020/9/1

A Location-allocation Model for Fog Computing Infrastructures.

Thiago Alves de Queiroz

Claudia Canali

Riccardo Lancellotti

Manuel Iori

2020

See List of Professors in Riccardo Lancellotti University(Università degli Studi di Modena e Reggio Emilia)

Co-Authors

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