Jacopo Massa

PhD Candidate / Research Fellow

University of Pisa

About Me

Hi! 👋🏼 I am a PhD Candidate in Computer Science at the University of Pisa, and also a Research Fellow in the NOUS European project. My research primarily focuses on declarative approaches for multi-service applications and network management, emphasising data-awareness and simulation-emulation of the Cloud-Edge continuum.

To this end, I am one of the main authors and maintainers of ECLYPSE, a Python framework for the simulation and emulation of Cloud-Edge environments. I am actively involved in the academic community, serving as a Program Committee member and reviewer for various international conferences and journals.

Feel free to download my resume for a more detailed look at my work and achievements.

Interests

Cloud-Edge continuum
Simulation and Emulation
Declarative Programming

Education

PhD in Computer Science, 2021 - now
University of Pisa / CNR-ISTI
MSc in Computer Science, 2019 - 2021
University of Pisa
BSc in Computer Science, 2016 - 2019
University of Pisa

Experience

Research Grant

University of Pisa - NOUS Project

Nov 2024 – Now • Pisa, Italy

PhD Programme in Computer Science

University of Pisa

Nov 2021 – Now • Pisa, Italy

Publications

Last updated: Oct 23, 2025

Google Scholar

citations:	62
h-index:	4
i10-index:	3

Scopus

citations:	41
h-index:	4

Please find below a list of my most recent publications, where the colour boxes in front of each publication follow the DBLP colour scheme.

Indexed publications are also listed on Google Scholar , Scopus , DBLP , ResearchGate , WoS , csauthors.net .

Matteo Della Bartola, Jacopo Massa, Patrizio Dazzi, Torquati (2025). FastFlow-Python: Parallel Building Blocks in Python Through FastFlow Integration. IC2E 2025.

Cite DOI GitHub

Emanuele Carlini, Patrizio Dazzi, Luca Ferrucci, Jacopo Massa, Matteo Mordacchini (2025). Dynamic Workload Balancing in Decentralized Edge Systems: A Marginal Cost Approach. FGCS.

Cite DOI

Valerio Besozzi, Emanuele Carlini, Marco Danelutto, Patrizio Dazzi, Matteo Della Bartola, Luca Ferrucci, Jacopo Massa, Matteo Mordacchini (2025). Decentralized Q-Learning for Workload Offloading in Urgent Edge Computing Scenarios. CISIS 2025.

Cite DOI

Jacopo Massa, Valerio De Caro, Stefano Forti, Patrizio Dazzi, Bacciu, Antonio Brogi (2025). ECLYPSE: a Python Framework for Simulation and Emulation of the Cloud-Edge Continuum. arXiv.

Cite DOI GitHub

Jacopo Massa, Stefano Forti, Patrizio Dazzi, Antonio Brogi (2025). Combining Declarative and Linear Programming for Application Management in the Cloud-Edge Continuum. arXiv.

Cite DOI GitHub

See all publications

Service

Program Chair

AHPC³ 2026 | 3^rd Workshop on Accelerated HPC in the Cloud Edge Continuum @ PDP 2026
AHPC³ 2025 | 2^nd Workshop on Accelerated HPC in the Cloud Edge Continuum @ IC2E 2025
AHPC³ 2024 | 1^st Workshop on Accelerated HPC in the Cloud Edge Continuum @ PDP 2025

Program Committee Member

CLOUD COMPUTING 2026 | 17^rd International Conference on Cloud Computing, GRIDs, and Virtualization
IEEE CCNC 2026 | 23^rd IEEE Consumer Communications & Networking Conference
ACR 2026 | 4^th International Conference on Advances in Computing Research
IEEE SOSE 2025 | 19^th IEEE International Conference on Service-Oriented System Engineering
MoCS 2025 | 15^th Workshop on Management of Cloud and Smart City Systems
CSC 2025 | 11^th International Conference on Connected Smart Cities
I3E 2025 | 24^th IFIP Conference e-Business, e-Services, and e-Society
ESOCC 2025 | 12^th European Conference On Service-Oriented And Cloud Computing
ACR 2025 | 3^rd International Conference on Advances in Computing Research
IEEE SOSE 2024 | 18^th IEEE International Conference on Service-Oriented System Engineering
CSC 2024 | 10^th International Conference on Connected Smart Cities
ESOCC 2023 | 10^th European Conference On Service-Oriented And Cloud Computing
Microservices 2023 | 5^th International Conference on Microservices
ACSOS 2023 | 4^th International Conference on Autonomic Computing and Self-Organizing Systems

Web Chair

HPDC 2024 | 33^rd International Symposium on High-Performance Parallel and Distributed Computing

Teaching

Laboratorio 1

BSc course

A.Y. 2025/26
A.Y. 2024/25
A.Y. 2023/24
A.Y. 2021/22

Advanced Software Engineering

MSc course

A.Y. 2022/23

Cloud & Green Computing

MSc course

A.Y. 2021/22

Research

ECLYPSE

ECLYPSE (Edge-CLoud pYthon Platform for Simulated runtime Environments) is the first simulation library entirely written in Python, for experimenting with deployment strategies in varying infrastructure conditions. It provides an interface to simulate deployments of service-based applications onto life-like infrastructures, without and with an actual application implementation to be deployed.

Jacopo Massa, Valerio De Caro

dgLBF

The guaranteed Latency Based Forwarding approach features per-hop bounded delays to meet the target latency requirements of data flows based on end-to-end application needs. dGLBF introduces a Prolog-based specification of gLBF for path selection and delay configuration. The prototype determines paths and delays to meet data flow latency targets, offering a concise and extendable solution to the considered problem.

EdgeWise

EdgeWise shows a declarative programming and a Mixed-Integer Linear Programming (MILP) approach to determine eligible placements that minimise operational costs and reduce the number of used nodes to contain the amount of data transfers. After assessing the performance of both approaches, it reconcile them into a methodology that combines the best of the two worlds by exploiting a declarative pre-processing step to boost the MILP solver while determining optimal solutions.

DIPS

DIPS enables users (i.e. application providers) to specify their desired VNF chain requirements in a high-level language that captures their intent, such as the type of service to be provided, possible location constraints (e.g. at the edge), Quality of Service (QoS) (e.g. latency and bandwidth), but also non-functional requirements (e.g. privacy and logging).

DA-Placer

DAPlacer proposes a declarative solution that accounts for (non-)functional aspects so as to determine service placements and SDN data routings that meet all application requirements. Such a solution employs a Prolog reasoner and continuous reasoning to speed-up placement and routing decisions at runtime.