Matteo Nardelli

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Reinforcement Learning

Business Processes

Criminal Networks

Top Venues

Euro-Par Workshops

Publications

Marco Benedetti, Francesco De Sclavis, Marco Favorito, Giuseppe Galano, Sara Giammusso, Antonio Muci, Matteo Nardelli
Self-Balancing Semi-Hierarchical PCNs for CBDCs. CoRR (2024)
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)
Marco Benedetti, Marco Favorito, Matteo Nardelli
Orchestration of Blockchain-based Digital Twins. DLT (2023)
Marco Benedetti, Francesco De Sclavis, Marco Favorito, Giuseppe Galano, Sara Giammusso, Antonio Muci, Matteo Nardelli
PoW-less Bitcoin with Confidential Byzantine PoA. ICBC (2023)
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) (2023)
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) (2022)
Marco Benedetti, Francesco De Sclavis, Marco Favorito, Giuseppe Galano, Sara Giammusso, Antonio Muci, Matteo Nardelli
A PoW-less Bitcoin with Certified Byzantine Consensus. CoRR (2022)
Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli
Geo-distributed efficient deployment of containers with Kubernetes. Comput. Commun. 159 (2020)
Fabiana Rossi, Matteo Nardelli, Valeria Cardellini
Horizontal and Vertical Scaling of Container-Based Applications Using Reinforcement Learning. CLOUD (2019)
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) (2019)
Michael Borkowski, Walid Fdhila, Matteo Nardelli, Stefanie Rinderle-Ma, Stefan Schulte
Event-based failure prediction in distributed business processes. Inf. Syst. 81 (2019)
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Fabiana Rossi
Self-adaptive Container Deployment in the Fog: A Survey. ALGOCLOUD (2019)
Thomas Hiessl, Vasileios Karagiannis, Christoph Hochreiner, Stefan Schulte, Matteo Nardelli
Optimal Placement of Stream Processing Operators in the Fog. ICFEC (2019)
Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
A Multi-level Elasticity Framework for Distributed Data Stream Processing. Euro-Par Workshops (2018)
Matteo Nardelli, Valeria Cardellini, Emiliano Casalicchio
Multi-Level Elastic Deployment of Containerized Applications in Geo-Distributed Environments. FiCloud (2018)
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo
Decentralized self-adaptation for elastic Data Stream Processing. Future Gener. Comput. Syst. 87 (2018)
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) (2018)
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)
Christoph Hochreiner, Matteo Nardelli, Bernhard Knasmüller, Stefan Schulte, Schahram Dustdar
VTDL: A Notation for Data Stream Processing Applications. SOSE (2018)
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)
Matteo Nardelli, Christoph Hochreiner, Stefan Schulte
Elastic Provisioning of Virtual Machines for Container Deployment. ICPE Companion (2017)
Olena Skarlat, Matteo Nardelli, Stefan Schulte, Michael Borkowski, Philipp Leitner
Optimized IoT service placement in the fog. Serv. Oriented Comput. Appl. 11 (4) (2017)
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)
Michael Borkowski, Walid Fdhila, Matteo Nardelli, Stefanie Rinderle-Ma, Stefan Schulte
Event-based Failure Prediction in Distributed Business Processes. CoRR (2017)
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) (2017)
Olena Skarlat, Matteo Nardelli, Stefan Schulte, Schahram Dustdar
Towards QoS-Aware Fog Service Placement. ICFEC (2017)
Matteo Nardelli
Elastic Allocation of Docker Containers in Cloud Environments. ZEUS (2017)
Giacomo Marciani, Michele Porretta, Matteo Nardelli, Giuseppe F. Italiano
A Data Streaming Approach to Link Mining in Criminal Networks. FiCloud Workshops (2017)
Matteo Nardelli, Stefan Nastic, Schahram Dustdar, Massimo Villari, Rajiv Ranjan
Osmotic Flow: Osmotic Computing + IoT Workflow. IEEE Cloud Comput. 4 (2) (2017)
Valeria Cardellini, Matteo Nardelli, Dario Luzi
Elastic stateful stream processing in storm. HPCS (2016)
Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli
Joint Operator Replication and Placement Optimization for Distributed Streaming Applications. VALUETOOLS (2016)
Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli
Optimal operator placement for distributed stream processing applications. DEBS (2016)
Giacomo Marciani, Marco Piu, Michele Porretta, Matteo Nardelli, Valeria Cardellini
Real-time analysis of social networks leveraging the flink framework. DEBS (2016)
Matteo Nardelli
A Framework for Data Stream Applications in a Distributed Cloud. ZEUS (2016)
Matteo Nardelli
QoS-aware deployment of data streaming applications over distributed infrastructures. MIPRO (2016)
Matteo Nardelli
Placement of distributed stream processing over heterogeneous infrastructures: doctoral symposium. DEBS (2016)
Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli
On QoS-aware scheduling of data stream applications over fog computing infrastructures. ISCC (2015)
Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli
Distributed QoS-aware scheduling in storm. DEBS (2015)