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ORCIDMatteo Nardelli 0001
Person information
- affiliation: Bank of Italy, Frascati (Roma), Italy
- affiliation (former): University of Rome Tor Vergata, Italy
Other persons with the same name
- Matteo Nardelli 0002 — University of Trento, Italy
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2020 – today
- 2024
[e2]Demetris Zeinalipour
, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo di Sanzo:
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14351, Springer 2024, ISBN 978-3-031-50683-3 [contents]- [e1]Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo di Sanzo:
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14352, Springer 2024, ISBN 978-3-031-48802-3 [contents] - [i3]Marco Benedetti, Francesco De Sclavis, Marco Favorito, Giuseppe Galano, Sara Giammusso, Antonio Muci, Matteo Nardelli:
Self-Balancing Semi-Hierarchical PCNs for CBDCs. CoRR abs/2401.11868 (2024) - 2023
- [j11]Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli:
Dynamic Multi-Metric Thresholds for Scaling Applications Using Reinforcement Learning. IEEE Trans. Cloud Comput. 11(2): 1807-1821 (2023) - [c26]Marco Benedetti, Marco Favorito, Matteo Nardelli:
Orchestration of Blockchain-based Digital Twins. DLT 2023 - [c25]Marco Benedetti, Francesco De Sclavis, Marco Favorito, Giuseppe Galano, Sara Giammusso, Antonio Muci, Matteo Nardelli:
Certified Byzantine Consensus with Confidential Quorum for a Bitcoin-derived Permissioned DLT. DLT 2023 - [c24]Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini:
Compute Continuum: What Lies Ahead? Euro-Par Workshops (1) 2023: 5-17 - [c23]Marco Benedetti, Francesco De Sclavis, Marco Favorito, Giuseppe Galano, Sara Giammusso, Antonio Muci, Matteo Nardelli:
PoW-less Bitcoin with Confidential Byzantine PoA. ICBC 2023: 1-3 - [c22]Oliver Giudice, Alessandro Maggi, Matteo Nardelli:
Exploring Naive Approaches to Tell Apart LLMs Productions from Human-written Text. NLPIR 2023: 71-76 - 2022
- [j10]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Runtime Adaptation of Data Stream Processing Systems: The State of the Art. ACM Comput. Surv. 54(11s): 237:1-237:36 (2022) - [i2]Marco Benedetti, Francesco De Sclavis, Marco Favorito, Giuseppe Galano, Sara Giammusso, Antonio Muci, Matteo Nardelli:
A PoW-less Bitcoin with Certified Byzantine Consensus. CoRR abs/2207.06870 (2022) - 2020
- [j9]Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli:
Geo-distributed efficient deployment of containers with Kubernetes. Comput. Commun. 159: 161-174 (2020)
2010 – 2019
- 2019
- [j8]Michael Borkowski, Walid Fdhila, Matteo Nardelli, Stefanie Rinderle-Ma, Stefan Schulte:
Event-based failure prediction in distributed business processes. Inf. Syst. 81: 220-235 (2019) - [j7]Matteo Nardelli, Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti:
Efficient Operator Placement for Distributed Data Stream Processing Applications. IEEE Trans. Parallel Distributed Syst. 30(8): 1753-1767 (2019) - [c21]Fabiana Rossi, Matteo Nardelli, Valeria Cardellini:
Horizontal and Vertical Scaling of Container-Based Applications Using Reinforcement Learning. CLOUD 2019: 329-338 - [c20]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Fabiana Rossi:
Self-adaptive Container Deployment in the Fog: A Survey. ALGOCLOUD 2019: 77-102 - [c19]Thomas Hiessl, Vasileios Karagiannis, Christoph Hochreiner, Stefan Schulte, Matteo Nardelli:
Optimal Placement of Stream Processing Operators in the Fog. ICFEC 2019: 1-10 - 2018
- [j6]Gabriele Russo Russo, Matteo Nardelli, Valeria Cardellini, Francesco Lo Presti:
Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach. Algorithms 11(9): 134 (2018) - [j5]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Optimal operator deployment and replication for elastic distributed data stream processing. Concurr. Comput. Pract. Exp. 30(9) (2018) - [j4]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Decentralized self-adaptation for elastic Data Stream Processing. Future Gener. Comput. Syst. 87: 171-185 (2018) - [c18]Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti:
A Multi-level Elasticity Framework for Distributed Data Stream Processing. Euro-Par Workshops 2018: 53-64 - [c17]Matteo Nardelli, Valeria Cardellini, Emiliano Casalicchio:
Multi-Level Elastic Deployment of Containerized Applications in Geo-Distributed Environments. FiCloud 2018: 1-8 - [c16]Christoph Hochreiner, Matteo Nardelli, Bernhard Knasmüller, Stefan Schulte, Schahram Dustdar:
VTDL: A Notation for Data Stream Processing Applications. SOSE 2018: 76-85 - [p2]Valeria Cardellini, Tihana Galinac Grbac, Matteo Nardelli, Nikola Tankovic, Hong Linh Truong:
QoS-Based Elasticity for Service Chains in Distributed Edge Cloud Environments. Autonomous Control for a Reliable Internet of Services 2018: 182-211 - [p1]Valeria Cardellini, Tihana Galinac Grbac, Andreas Kassler, Pradeeban Kathiravelu, Francesco Lo Presti, Antonio Marotta, Matteo Nardelli, Luís Veiga:
Integrating SDN and NFV with QoS-Aware Service Composition. Autonomous Control for a Reliable Internet of Services 2018: 212-240 - 2017
- [j3]Matteo Nardelli, Stefan Nastic, Schahram Dustdar, Massimo Villari, Rajiv Ranjan:
Osmotic Flow: Osmotic Computing + IoT Workflow. IEEE Cloud Comput. 4(2): 68-75 (2017) - [j2]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
Optimal Operator Replication and Placement for Distributed Stream Processing Systems. SIGMETRICS Perform. Evaluation Rev. 44(4): 11-22 (2017) - [j1]Olena Skarlat, Matteo Nardelli, Stefan Schulte, Michael Borkowski, Philipp Leitner:
Optimized IoT service placement in the fog. Serv. Oriented Comput. Appl. 11(4): 427-443 (2017) - [c15]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog. Euro-Par Workshops 2017: 106-117 - [c14]Giacomo Marciani, Michele Porretta, Matteo Nardelli, Giuseppe F. Italiano:
A Data Streaming Approach to Link Mining in Criminal Networks. FiCloud Workshops 2017: 138-143 - [c13]Olena Skarlat, Matteo Nardelli, Stefan Schulte, Schahram Dustdar:
Towards QoS-Aware Fog Service Placement. ICFEC 2017: 89-96 - [c12]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach. InfQ@VALUETOOLS 2017: 97-110 - [c11]Matteo Nardelli, Christoph Hochreiner, Stefan Schulte:
Elastic Provisioning of Virtual Machines for Container Deployment. ICPE Companion 2017: 5-10 - [c10]Matteo Nardelli:
Elastic Allocation of Docker Containers in Cloud Environments. ZEUS 2017: 59-66 - [i1]Michael Borkowski, Walid Fdhila, Matteo Nardelli, Stefanie Rinderle-Ma, Stefan Schulte:
Event-based Failure Prediction in Distributed Business Processes. CoRR abs/1712.08342 (2017) - 2016
- [c9]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
Optimal operator placement for distributed stream processing applications. DEBS 2016: 69-80 - [c8]Giacomo Marciani, Marco Piu, Michele Porretta, Matteo Nardelli, Valeria Cardellini:
Real-time analysis of social networks leveraging the flink framework. DEBS 2016: 386-389 - [c7]Matteo Nardelli:
Placement of distributed stream processing over heterogeneous infrastructures: doctoral symposium. DEBS 2016: 422-425 - [c6]Valeria Cardellini, Matteo Nardelli, Dario Luzi:
Elastic stateful stream processing in storm. HPCS 2016: 583-590 - [c5]Matteo Nardelli:
QoS-aware deployment of data streaming applications over distributed infrastructures. MIPRO 2016: 736-741 - [c4]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
Joint Operator Replication and Placement Optimization for Distributed Streaming Applications. VALUETOOLS 2016 - [c3]Matteo Nardelli:
A Framework for Data Stream Applications in a Distributed Cloud. ZEUS 2016: 56-63 - 2015
- [c2]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
Distributed QoS-aware scheduling in storm. DEBS 2015: 344-347 - [c1]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
On QoS-aware scheduling of data stream applications over fog computing infrastructures. ISCC 2015: 271-276
Coauthor Index
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