Big Data & Compute Continuum Lab
Supported by significant European and national funding, the Big Data & Compute Continuum Lab (BDCC) is at the forefront of integrating Big Data in Industry 4.0 and 5.0, developing platforms for data-driven business insights.
The Big Data & Compute Continuum Lab is coordinated by Prof. Mauro Tortonesi.
Our focus is on large-scale, high-performance distributed processing of vast amounts of data, adopting an innovative and holistic approach.
The group explores creative methodologies to develop flexible and widely applicable Big Data and MLOps platforms across various fields, such as the optimization of production processes in Industry 4.0 and 5.0. Additionally, we develop methodologies and tools for managing IT services within the Compute Continuum—the unified and distributed ecosystem of resources between the edge and the cloud—using highly innovative approaches such as computational intelligence, reinforcement learning, value-of-information, and digital twin.
We have a strong international vocation and have established structural scientific collaborations with prestigious institutions. We are involved in several research projects funded through public calls, also in collaboration with world-leading manufacturing companies.
Among our academic partners, feature: Florida Institute for Human & Machine Cognition (IHMC), IBM TJ Watson Research Center, St. John’s University, Ghent University, and the University of Manchester. Among our industrial partners, feature: Carpigiani Group, Bonfiglioli Group, EMAG, MARPOSS, and MEP.
Academic collaborations
Florida Institute for Human & Machine Cognition (IHMC)
Pensacola, FL, USA
IBM TJ Watson Research Center
New York, NY, USA
St. John’s University
New York, NY, USA
Ghent University - IMEC, IDLab, Department of Information Technology
Ghent, Belgium
BME - Budapest University of Technology and Economics
Budapest, Hungary
Industrial partnerships
Bonfiglioli Group
Bologna, Italy
Carpigiani Group
Bologna, Italy
EMAG SU
Anzola dell'Emilia (BO), Italy
Marposs
Bentivoglio (BO), Italy
MEP
Pergola (PU), Italy
Awards
2024 ITADATA Best Paper Award
The 3rd Italian Conference on Big Data and Data Science
17-19 September 2024 | Pisa, Italy
Multivariate Time Series Anomaly Detection in Industry 5.0 (Co-authors: L. Colombi, M. Vespa, N. Belletti, M. Brina, S. Dahdal, F. Tabanelli, E. Bellodi, M. Tortonesi, C. Stefanelli, M. Vignoli)
and IFIP-supported Best Paper Award
19th International Conference on Network and Service Management (CNSM 2023)
30 October - 2 November 2023 | Niagara Falls, Canada
Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach. (Co-authors: L. Manca, D. Borsatti, F. Poltronieri, M. Zaccarini, et al.)
2023 International Conference on Military Communications and Information Systems (ICMCIS)
A Data Mesh Approach for Enabling Data-Centric Applications at the Tactical Edge (Co-authors: S. Dahdal, C. Stefanelli, N. Suri, M. Tortonesi)
IEEE/IFIP Network Operations and Management Symposium (NOMS) 2020
Value of Information based Optimal Service Fabric Management for Fog Computing (Co-authors: F. Poltronieri, M. Tortonesi, A. Morelli, C. Stefanelli, N. Suri)
Participations
Technical Program Committee Co-Chair
20th International Conference on Network and Service Management (CNSM 2024)
28-31 October 2024 | Prague, Czech Republic
4th International Workshop on Analytics for Service and Application Management (AnServApp2024), co-located with CNSM 2024
28 October 2024 | Prague, Czech Republic
Keynote Speech
INSIDE Association Thematic Meeting
13 June 2024 | Budapest, Hungary
"AI for Manufacturing 4.0" at SPS Italia
27 May 2024 | Parma, Italy
Guest Speaker in Panel
Panel on "Network Digital Twin" 37th Network Operations and Management Symposium (NOMS 2024)
6-10 May 2024 | Seoul, Korea
5th Workshop on Management for Industry 5.0 (MFI5.0), co-located with NOMS 2024
6 May 2024 | Seoul, Korea
4th IEEE/IFIP International Workshop on Internet of Things Management (Manage-IoT 2024), co-located with NOMS 2024
6 May 2024 | Seoul, Korea
Big Data e Manifattura: esempi di applicazione in ambito Industry 4.0 at The European House - Ambrosetti (TEHA)
11 April 2024 | Trento, Italy
27th Conference on Innovation in Clouds, Internet and Networks (ICIN 2024)
11-14 March 2024 | Paris, France
The Big Data & Compute Continuum research lab's team with the Head, Prof. Mauro Tortonesi. From left to right: Nicolas Belletti, Matteo Brina, Ion Boleac, Simon Dahdal, Filippo Tabanelli, Edoardo Di Caro, Lucia Ferrari, Mauro Tortonesi, Valeria Bevilacqua, Umberto Ardinghi, Sara Cavicchi, Filippo Poltronieri, Mattia Zaccarini, Lorenzo Colombi, Alessandro Gilli.