Big Data & Compute Continuum Lab
Supported by significant European and national funding, the Big Data & Compute Continuum Lab is at the forefront of integrating Big Data in Industry 4.0, developing platforms for data-driven business insights.
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 5.0.
Additionally, it develops 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 orientation and have established structural scientific collaborations with prestigious institutions and is 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 industriual 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
Gent, 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
and
19th International Conference on Network and Service Management (CNSM 2023)
30 October - 2 November | Niagara Falls, Canada
for the paper
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)
for the paper
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
for the paper
Value of Information based Optimal Service Fabric Management for Fog Computing (Co-authors: F. Poltronieri, M. Tortonesi, A. Morelli, C. Stefanelli, N. Suri)
Participations
Keynote Speech
INSIDE Association Thematic Meeting
13 June 2024 | Budapest, Hungary
"AI for Manufacturing 4.0"
SPS Italia
27 May 2024 | Parma, Italy
Guest Speaker in panel "Network Digital Twin"
37th Network Operations and Management Symposium (NOMS 2024)
6-10 May 2024 | Seoul, Korea
Manage-IoT workshop co-located with NOMS 2024
6 May 2024 | Seoul, Korea
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 Lab's team with the Coordinator, Prof. Mauro Tortonesi