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Patrizio Dazzi

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affiliation: University of Pisa, Department of Computer Science, Italy
affiliation (PhD 2008): National Research Council (CNR), Institute of Information Science and Technologies (ISTI), Pisa, Italy

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2020 – today

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2024
[j15]
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Luca Ferrucci, Matteo Mordacchini, Patrizio Dazzi:
Decentralized Replica Management in Latency-Bound Edge Environments for Resource Usage Minimization. IEEE Access 12: 19229-19249 (2024)
[j14]
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Antonios Makris, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Theodoros Theodoropoulos, Patrizio Dazzi, Konstantinos Tserpes:
Pro-active component image placement in Edge computing environments. Future Gener. Comput. Syst. 157: 344-359 (2024)
[j13]
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Masoud Shokrnezhad, Tarik Taleb, Patrizio Dazzi:
Double Deep Q-Learning-Based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications. IEEE Trans. Mob. Comput. 23(5): 5097-5110 (2024)
[j12]
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Gabriele Mencagli, Patrizio Dazzi, Massimo Coppola:
Springald: GPU-Accelerated Window-Based Aggregates Over Out-of-Order Data Streams. IEEE Trans. Parallel Distributed Syst. 35(9): 1657-1671 (2024)
[c77]
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Emanuele Carlini, Patrizio Dazzi, Antonios Makris, Matteo Mordacchini, Theodoros Theodoropoulos, Konstantinos Tserpes:
Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm. CLOUD 2024: 399-403
[c76]
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Marco Danelutto, Patrizio Dazzi, Massimo Torquati:
Structuring the Continuum. AINA (5) 2024: 212-223
[c75]
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Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonios Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini:
Urgent Edge Computing. FRAME@HPDC 2024
[c74]
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Antonios Makris, Emmanouil Maragkoudakis, Ioannis Kontopoulos, Theodoros Theodoropoulos, Ioannis Korontanis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Theodora A. Varvarigou:
Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach. FRAME@HPDC 2024
[c73]
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Jacopo Massa, Stefano Forti, Federica Paganelli, Patrizio Dazzi, Antonio Brogi:
A declarative reasoning approach to conflict management in Intent-Based Networking. ICIN 2024: 228-233
[c72]
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Geremia Pompei, Patrizio Dazzi, Valerio De Caro, Claudio Gallicchio:
Decentralized Incremental Federated Learning with Echo State Networks. IJCNN 2024: 1-8
[e4]
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Patrizio Dazzi, Gabriele Mencagli, David K. Lowenthal, Rosa M. Badia:
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2024, Pisa, Italy, June 3-7, 2024. ACM 2024, ISBN 979-8-4007-0413-0 [contents]
[i20]
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  - journals/corr/abs-2404-13411
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Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonios Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini:
Urgent Edge Computing. CoRR abs/2404.13411 (2024)
[i19]
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Antonios Makris, Theodoros Theodoropoulos, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes:
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement. CoRR abs/2407.00007 (2024)
2023
[j11]
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Theodoros Theodoropoulos, Antonios Makris, Ioannis Kontopoulos, John Violos, Przemyslaw Tarkowski, Zbyszek Ledwon, Patrizio Dazzi, Konstantinos Tserpes:
Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study. Int. J. Inf. Manag. Data Insights 3(1): 100158 (2023)
[j10]
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Tarik Taleb, Abderrahmane Boudi, Luís Rosa, Luís Cordeiro, Theodoros Theodoropoulos, Konstantinos Tserpes, Patrizio Dazzi, Antonis Protopsaltis, Richard Li:
Toward Supporting XR Services: Architecture and Enablers. IEEE Internet Things J. 10(4): 3567-3586 (2023)
[c71]
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Jacopo Massa, Stefano Forti, Patrizio Dazzi, Antonio Brogi:
Declarative and Linear Programming Approaches to Service Placement, Reconciled. CLOUD 2023: 1-10
[c70]
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Theodoros Theodoropoulos, Antonios Makris, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes:
GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning. CLOUD 2023: 120-128
[c69]
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Marco Aldinucci, Robert Birke, Antonio Brogi, Emanuele Carlini, Massimo Coppola, Marco Danelutto, Patrizio Dazzi, Luca Ferrucci, Stefano Forti, Hanna Kavalionak, Gabriele Mencagli, Matteo Mordacchini, Marcelo Pasin, Federica Paganelli, Massimo Torquati:
A Proposal for a Continuum-aware Programming Model: From Workflows to Services Autonomously Interacting in the Compute Continuum. COMPSAC 2023: 1852-1857
[c68]
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Patrizio Dazzi:
An Intelligent Continuum for Intelligent Applications. FRAME@HPDC 2023: 1-2
[c67]
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Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Luca Ferrucci, Hanna Kavalionak, Matteo Mordacchini:
DATA7: A Dataset for Assessing Resource and Application Management Solutions at the Edge. FRAME@HPDC 2023: 3-6
[c66]
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Emanuele Carlini, Patrizio Dazzi, Konstantinos Tserpes, Lorenzo Blasi, Marco Di Girolamo, Dariusz Dober:
Innovation Potential of the ACCORDION Platform. FRAME@HPDC 2023: 33-35
[c65]
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Davide Bacciu, Konstantinos Tserpes, Massimo Coppola, Georg Macher, Claudio Gallicchio, Omar Veledar, Anna Maria Anaxagorou, Patrizio Dazzi:
TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence. FRAME@HPDC 2023: 37-39
[c64]
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Jacopo Massa, Stefano Forti, Federica Paganelli, Patrizio Dazzi, Antonio Brogi:
Declarative Provisioning of Virtual Network Function Chains in Intent-based Networks. NetSoft 2023: 522-527
[c63]
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Jacopo Massa, Stefano Forti, Federica Paganelli, Patrizio Dazzi, Antonio Brogi:
Towards declarative intent processing and conflict resolution in IBN. UCC 2023: 63
[c62]
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Luca Ferrucci, Marco Danelutto, Patrizio Dazzi:
StarFlow: fine-grained execution of workflows in Hybrid Cloud HPC for data stream applications. UCC 2023: 64
[e3]
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Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis:
Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), co-located with the IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18-23, 2022., Padua, Italy, July 18-23, 2022. CEUR Workshop Proceedings 3350, CEUR-WS.org 2023 [contents]
[i18]
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  - journals/corr/abs-2309-10180
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Masoud Shokrnezhad, Tarik Taleb, Patrizio Dazzi:
Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications. CoRR abs/2309.10180 (2023)
[i17]
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Jacopo Massa, Stefano Forti, Patrizio Dazzi, Antonio Brogi:
Data-aware Declarative Application Management in the Cloud-IoT Continuum. ERCIM News 2023(133) (2023)
2022
[c61]
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Emanuele Carlini, Hanna Kavalionak, Patrizio Dazzi, Luca Ferrucci, Massimo Coppola, Matteo Mordacchini:
Network Measurements with Function-as-a-Service for Distributed Low-latency Edge Applications. FRAME@HPDC 2022: 25-28
[c60]
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Matteo Mordacchini, Emanuele Carlini, Patrizio Dazzi:
A Mathematical Model for Latency Constrained Self-Organizing Application Placement in the Edge. FRAME@HPDC 2022: 29-32
[c59]
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Saira Bano, Emanuele Carlini, Pietro Cassarà, Massimo Coppola, Patrizio Dazzi, Alberto Gotta:
A Novel Approach to Distributed Model Aggregation using Apache Kafka. FRAME@HPDC 2022: 33-36
[c58]
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Matteo Mordacchini, Luca Ferrucci, Emanuele Carlini, Hanna Kavalionak, Massimo Coppola, Patrizio Dazzi:
Energy and QoE aware Placement of Applications and Data at the Edge. SEBD 2022: 109-116
[c57]
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Patrizio Dazzi, Valerio Grossi, Roberto Trasarti:
Workflows for Bringing Data Science on the Cloud/Edge Computing Continuum. SEBD 2022: 125-132
[c56]
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Hanna Kavalionak, Emanuele Carlini, Patrizio Dazzi, Luca Ferrucci, Matteo Mordacchini, Massimo Coppola:
Decentralized Federated Learning and Network Topologies: an Empirical Study on Convergence. SEBD 2022: 317-324
[c55]
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Emanuele Carlini, Thierry Chevalier, Patrizio Dazzi, Francesco Lettich, Raffaele Perego, Chiara Renso, Salvatore Trani:
A Federated Cloud Solution for Transnational Mobility Data Sharing. SEBD 2022: 586-592
2021
[c54]
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Antonios Makris, Abderrahmane Boudi, Massimo Coppola, Luís Cordeiro, Massimiliano Corsini, Patrizio Dazzi, Ferran Diego Andilla, Yago González Rozas, Manos N. Kamarianakis, Maria Pateraki, Thu Le Pham, Antonis Protopsaltis, Aravindh Raman, Alessandro Romussi, Luís Rosa, Elena Spatafora, Tarik Taleb, Theodoros Theodoropoulos, Konstantinos Tserpes, Enrico Zschau, Uwe Herzog:
Cloud for Holography and Augmented Reality. CloudNet 2021: 118-126
[c53]
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Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS 2021: 1-6
[c52]
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Matteo Mordacchini, Luca Ferrucci, Emanuele Carlini, Hanna Kavalionak, Massimo Coppola, Patrizio Dazzi:
Self-organizing Energy-Minimization Placement of QoE-Constrained Services at the Edge. GECON 2021: 133-142
[c51]
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Luca Ferrucci, Matteo Mordacchini, Massimo Coppola, Emanuele Carlini, Hanna Kavalionak, Patrizio Dazzi:
Latency Preserving Self-optimizing Placement at the Edge. FRAME@HPDC 2021: 3-8
[c50]
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Ioannis Korontanis, Konstantinos Tserpes, Maria Pateraki, Lorenzo Blasi, John Violos, Ferran Diego, Eduard Marin, Nicolas Kourtellis, Massimo Coppola, Emanuele Carlini, Zbyszek Ledwon, Przemyslaw Tarkowski, Thomas Loven, Yago González Rozas, Mike Kentros, Michael Dodis, Patrizio Dazzi:
Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision. FRAME@HPDC 2021: 9-14
[c49]
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Emanuele Carlini, Lorenzo Carnevale, Massimo Coppola, Patrizio Dazzi, Gabriele Mencagli, Domenico Talia, Massimo Villari:
An Osmotic Ecosystem for Data Streaming Applications in Smart Cities. FRAME@HPDC 2021: 27-31
[c48]
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Ugo Erra, Nicola Capece, Nicola Lettieri, Ernesto Fabiani, Francesco Banterle, Paolo Cignoni, Patrizio Dazzi, Jacopo Aleotti, Riccardo Monica:
Collaborative Visual Environments for Evidence Taking in Digital Justice: A Design Concept. FRAME@HPDC 2021: 33-37
[c47]
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Emanuele Carlini, Patrizio Dazzi, Francesco Lettich, Raffaele Perego, Chiara Renso:
Cloud and Data Federation in MobiDataLab. FRAME@HPDC 2021: 39-40
[c46]
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Valerio Grossi, Roberto Trasarti, Patrizio Dazzi:
Data Science Workflows for the Cloud/Edge Computing Continuum. FRAME@HPDC 2021: 41-44
[c45]
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Hanna Kavalionak, Emanuele Carlini, Patrizio Dazzi, Luca Ferrucci, Matteo Mordacchini, Massimo Coppola:
Impact of Network Topology on the Convergence of Decentralized Federated Learning Systems. ISCC 2021: 1-6
[c44]
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Georg Macher, Siranush Akarmazyan, Eric Armengaud, Davide Bacciu, Calogero Calandra, Herbert Danzinger, Patrizio Dazzi, Charalampos Davalas, Maria Carmela De Gennaro, Angela Dimitriou, Jürgen Dobaj, Maid Dzambic, Lorenzo Giraudi, Sylvain Girbal, Dimitrios Michail, Roberta Peroglio, Rosaria Potenza, Farank Pourdanesh, Matthias Seidl, Christos Sardianos, Konstantinos Tserpes, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
Dependable Integration Concepts for Human-Centric AI-Based Systems. SAFECOMP Workshops 2021: 11-23
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Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR abs/2107.06543 (2021)
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Emanuele Carlini, Patrizio Dazzi, Luca Ferrucci, Matteo Mordacchini:
Efficient Resources Distribution for an Ephemeral Cloud/Edge continuum. CoRR abs/2107.07195 (2021)
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Patrizio Dazzi:
ACCORDION: Edge Computing for NextGen Applications. ERCIM News 2021(125) (2021)
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Davide Bacciu, Patrizio Dazzi, Alberto Gotta:
Supporting Privacy Preservation by Distributed and Federated Learning on the Edge. ERCIM News 2021(126): 0 (2021)
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Patrizio Dazzi, Massimiliano Corsini:
CHARITY: Cloud for Holography and Cross Reality. ERCIM News 2021(126) (2021)
2020
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Konstantinos Tserpes, Patrizio Dazzi, Emanuele Carlini, Massimo Coppola, Dimitrios Zissis:
Special Issue on High Performance Services Computing and Internet Technologies. Future Gener. Comput. Syst. 109: 642-643 (2020)
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Patrizio Dazzi, Matteo Mordacchini:
Scalable Decentralized Indexing and Querying of Multi-Streams in the Fog. J. Grid Comput. 18(3): 395-418 (2020)

2010 – 2019

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2019
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Vinicius Monteiro de Lira, Emanuele Carlini, Patrizio Dazzi:
POLAr: Geographic Placement Optimization for Latency Sensitive Applications. MDM 2019: 361-362
2018
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Gabriele Mencagli, Patrizio Dazzi, Nicolò Tonci:
SpinStreams: a Static Optimization Tool for Data Stream Processing Applications. Middleware 2018: 66-79
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Sanzio Bassini, Marco Danelutto, Patrizio Dazzi, Gerhard R. Joubert, Frans J. Peters:
Parallel Computing is Everywhere, Proceedings of the International Conference on Parallel Computing, ParCo 2017, 12-15 September 2017, Bologna, Italy. Advances in Parallel Computing 32, IOS Press 2018, ISBN 978-1-61499-842-6 [contents]
2017
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Chan-Hyun Youn, Min Chen, Patrizio Dazzi:
Cloud Broker and Cloudlet for Workflow Scheduling. Springer 2017, ISBN 978-981-10-5070-1, pp. 1-212
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Gaetano F. Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi:
QoS-aware genetic Cloud Brokering. Future Gener. Comput. Syst. 75: 1-13 (2017)
[j6]
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Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci:
Scalable and flexible clustering solutions for mobile phone-based population indicators. Int. J. Data Sci. Anal. 4(4): 285-299 (2017)
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Patrizio Dazzi, Emanuele Carlini, Alessandro Lulli, Laura Ricci:
TELOS: An Approach for Distributed Graph Processing Based on Overlay Composition. Scalable Comput. Pract. Exp. 18(1): 35-49 (2017)
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Alessandro Lulli, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese, Laura Ricci:
Fast Connected Components Computation in Large Graphs by Vertex Pruning. IEEE Trans. Parallel Distributed Syst. 28(3): 760-773 (2017)
[c41]
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Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Konstantinos Tserpes, John Violos, Young-Woo Jung, Ganis Zulfa Santoso, Jörn Altmann, Jamie Marshall, Enric Pages, Myoungjin Kim:
BASMATI: Cloud Brokerage Across Borders for Mobile Users and Applications. ESOCC Workshops 2017: 181-186
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Patrizio Dazzi, Matteo Mordacchini:
NOA-AID: Network Overlays for Adaptive Information Aggregation, Indexing and Discovery at the Edge. Euro-Par Workshops 2017: 29-41
[c39]
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Jörn Altmann, Baseem Al-athwari, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Ana Juan Ferrer, Netsanet Haile, Young-Woo Jung, Jamie Marshall, Enric Pages, Evangelos Psomakelis, Ganis Zulfa Santoso, Konstantinos Tserpes, John Violos:
BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users. GECON 2017: 56-66
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John Violos, Vinicius Monteiro de Lira, Patrizio Dazzi, Jörn Altmann, Baseem Al-athwari, Antonia Schwichtenberg, Young-Woo Jung, Theodora A. Varvarigou, Konstantinos Tserpes:
User Behavior and Application Modeling in Decentralized Edge Cloud Infrastructures. GECON 2017: 193-203
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Ganis Zulfa Santoso, Young-Woo Jung, Seong-Woo Seok, Emanuele Carlini, Patrizio Dazzi, Jörn Altmann, John Violos, Jamie Marshall:
Dynamic Resource Selection in Cloud Service Broker. HPCS 2017: 233-235
[c36]
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Patrizio Dazzi, Pietro Cassarà:
How to Support the Machine Learning Take-Off: Challenges and Hints for Achieving Intelligent UAVs. WISATS 2017: 106-114
2016
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Gaetano F. Anastasi, Massimo Coppola, Patrizio Dazzi, Marco Distefano:
QoS Guarantees for Network Bandwidth in Private Clouds. Cloud Forward 2016: 4-13
[c34]
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Emanuele Carlini, Patrizio Dazzi, Matteo Mordacchini:
A Holistic Approach for High-level Programming of Next-generation Data-intensive Applications Targeting Distributed Heterogeneous Computing Environment. Cloud Forward 2016: 131-134
[c33]
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Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci:
Improving population estimation from mobile calls: A clustering approach. ISCC 2016: 1097-1102
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Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Laura Ricci:
Distributed graph processing: an approach based on overlay composition. SAC 2016: 1912-1917
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Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Matteo Mordacchini, Andrea Passarella:
Self-Optimising Decentralised Service Placement in Heterogeneous Cloud Federation. SASO 2016: 110-119
[i11]
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Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Matteo Mordacchini:
Challenges to be addressed for realising an Ephemeral Cloud Federation. CoRR abs/1610.07371 (2016)
[i10]
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Patrizio Dazzi:
BASMATI - Cloud Brokerage Across Borders For Mobile Users And Applications. ERCIM News 2016(107) (2016)
2015
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Emanuele Carlini, Patrizio Dazzi, Matteo Mordacchini, Alessandro Lulli, Laura Ricci:
Community Discovery for Interest Management in DVEs: A Case Study. Euro-Par Workshops 2015: 273-285
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Alessandro Lulli, Patrizio Dazzi, Laura Ricci, Emanuele Carlini:
A Multi-layer Framework for Graph Processing via Overlay Composition. Euro-Par Workshops 2015: 515-527
[c28]
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Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese:
Cracker: Crumbling large graphs into connected components. ISCC 2015: 574-581
[c27]
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Massimiliano Bertolucci, Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Laura Ricci:
Static and Dynamic Big Data Partitioning on Apache Spark. PARCO 2015: 489-498
[c26]
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Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi:
Distributed Current Flow Betweenness Centrality. SASO 2015: 71-80
[i9]
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Patrizio Dazzi, Matteo Mordacchini, Laura Ricci:
Epidemic Information Diffusion: A Simple Solution to Support Community-based Recommendations in P2P Overlays. CoRR abs/1503.03250 (2015)
[i8]
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Patrizio Dazzi:
Tools and Models for High Level Parallel and Grid Programming. CoRR abs/1503.03284 (2015)
[i7]
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Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Laura Ricci:
Layered Thinking in Vertex Centric Computations. ERCIM News 2015(102) (2015)
2014
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Gaetano F. Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi:
QBROKAGE: A Genetic Approach for QoS Cloud Brokering. IEEE CLOUD 2014: 304-311
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Gaetano F. Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Marco Distefano:
An OVF toolkit supporting Inter-Cloud application splitting. CloudNet 2014: 96-101
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Emanuele Carlini, Patrizio Dazzi, Andrea Esposito, Alessandro Lulli, Laura Ricci:
Balanced Graph Partitioning with Apache Spark. Euro-Par Workshops (1) 2014: 129-140
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Gaetano F. Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Aliaksandr Lazouski, Fabio Martinelli, Gaetano Mancini, Paolo Mori:
Usage Control in Cloud Federations. IC2E 2014: 141-146
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Gaetano F. Anastasi, Pietro Cassarà, Patrizio Dazzi, Alberto Gotta, Matteo Mordacchini, Andrea Passarella:
A Hybrid Cross-Entropy Cognitive-Based Algorithm for Resource Allocation in Cloud Environments. SASO 2014: 11-20
2013
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Ranieri Baraglia, Gabriele Capannini, Patrizio Dazzi, Giancarlo Pagano:
A multi-criteria job scheduling framework for large computing farms. J. Comput. Syst. Sci. 79(2): 230-244 (2013)
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Ranieri Baraglia, Patrizio Dazzi, Matteo Mordacchini, Laura Ricci:
A peer-to-peer recommender system for self-emerging user communities based on gossip overlays. J. Comput. Syst. Sci. 79(2): 291-308 (2013)
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Emanuele Carlini, Patrizio Dazzi, Matteo Mordacchini, Laura Ricci:
Toward Community-Driven Interest Management for Distributed Virtual Environment. Euro-Par Workshops 2013: 363-373
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Gaetano F. Anastasi, Emanuele Carlini, Patrizio Dazzi:
Smart cloud federation simulations with CloudSim. ORMaCloud 2013: 9-16
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Matteo Mordacchini, Patrizio Dazzi, Ranieri Baraglia, Laura Ricci:
Towards GROUP protocol formalization. P2P 2013: 1-2
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Ranieri Baraglia, Massimo Coppola, Patrizio Dazzi:
First ACM workshop on Optimization techniques for resources management in clouds - ORMaCloud '13, co-located with ACM HPDC 2013, New York, NY, USA, June 17, 2013. Proceedings. ACM 2013, ISBN 978-1-4503-1982-9 [contents]
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Ranieri Baraglia, Patrizio Dazzi, Matteo Mordacchini, Laura Ricci:
ATLAAS-P2P: a two layer network solution for easing the resource discovery process in unstructured networks. CoRR abs/1306.2160 (2013)
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Patrizio Dazzi:
Let's Annotate to Let Our Code Run in Parallel. CoRR abs/1306.2267 (2013)
[i4]
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Patrizio Dazzi:
A Tool for Programming Embarrassingly Task Parallel Applications on CoW and NoW. CoRR abs/1306.5782 (2013)
[i3]
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Ranieri Baraglia, Patrizio Dazzi, Matteo Mordacchini, Laura Ricci:
ATLAAS-P2P: A Two-Layer Architecture for Approximated Search in Peer to Peer. ERCIM News 2013(92) (2013)
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Patrizio Dazzi, Emanuele Carlini:
Epeerdemics: A Peer-to-Peer Simulator Targeting Epidemic-Based Protocols. ERCIM News 2013(92) (2013)
2012
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Ranieri Baraglia, Patrizio Dazzi, Barbara Guidi, Laura Ricci:
GoDel: Delaunay overlays in P2P networks via Gossip. P2P 2012: 1-12
2011
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Patrizio Dazzi, Matteo Mordacchini, Fabio Baglini:
Experiences with Complex User Profiles for Approximate P2P Community Matching. CIT 2011: 53-58
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Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Laura Ricci, Giacomo Righetti:
Cloud Federations in Contrail. Euro-Par Workshops (1) 2011: 159-168
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Ranieri Baraglia, Patrizio Dazzi, Matteo Mordacchini, Laura Ricci, Luca Alessi:
GROUP: A Gossip Based Building Community Protocol. NEW2AN 2011: 496-507
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Ranieri Baraglia, Patrizio Dazzi, Matteo Mordacchini, Laura Ricci, Luca Alessi:
On Democracy in Peer-to-Peer systems. CoRR abs/1106.3172 (2011)
2010
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Matteo Mordacchini, Ranieri Baraglia, Patrizio Dazzi, Laura Ricci:
A P2P REcommender System based on Gossip Overlays (PREGO). CIT 2010: 83-90
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Ranieri Baraglia, Patrizio Dazzi, Gabriele Capannini, Giancarlo Pagano:
A Multi-criteria Job Scheduling Framework for Large Computing Farms. CIT 2010: 187-194
[c11]
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Ranieri Baraglia, Patrizio Dazzi, Matteo Mordacchini, Raffaele Perego, Laura Ricci:
Gossip Communities: Collaborative Filtering Through Peer-to-Peer Overlays (Extended Abstract). SEBD 2010: 54-61

2000 – 2009

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2009
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Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Domenico Laforenza, Susanna Martinelli, Laura Ricci:
Service and Resource Discovery supports over P2P overlays. ICUMT 2009: 1-8
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Matteo Mordacchini, Patrizio Dazzi, Gabriele Tolomei, Ranieri Baraglia, Fabrizio Silvestri, Salvatore Orlando:
Challenges in designing an interest-based distributed aggregation of users in P2P systems. ICUMT 2009: 1-8
[c8]
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Patrizio Dazzi, Pascal Felber, Le Bao Anh, Lorenzo Leonini, Matteo Mordacchini, Raffaele Perego, Martin Rajman, Etienne Rivière:
Peer-to-Peer Clustering of Web-browsing Users. LSDS-IR@SIGIR 2009
2008
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Marco Aldinucci, Marco Danelutto, Peter Kilpatrick, Patrizio Dazzi:
From Orc Models To Distributed Grid Java Code. CoreGRID Integration Workshop 2008: 13-24
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Marco Aldinucci, Sonia Campa, Marco Danelutto, Marco Vanneschi, Peter Kilpatrick, Patrizio Dazzi, Domenico Laforenza, Nicola Tonellotto:
Behavioural Skeletons in GCM: Autonomic Management of Grid Components. PDP 2008: 54-63
2007
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Marco Aldinucci, Marco Danelutto, Patrizio Dazzi:
MUSKEL: an expandable skeleton environment. Scalable Comput. Pract. Exp. 8(4) (2007)
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Marco Aldinucci, Sonia Campa, Marco Danelutto, Patrizio Dazzi, Domenico Laforenza, Nicola Tonellotto, Peter Kilpatrick:
Behavioural Skeletons for Component Autonomic Management on Grids. CoreGRID Workshop - Making Grids Work 2007: 3-15
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Marco Danelutto, Patrizio Dazzi:
Workflows on Top of a Macro Data Flow Interpreter Exploiting Aspects. CoreGRID Workshop - Making Grids Work 2007: 213-224
2006
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Marco Danelutto, Marcelo Pasin, Marco Vanneschi, Patrizio Dazzi, Domenico Laforenza, Luigi Presti:
PAL: Exploiting Java Annotations for Parallelism. CoreGRID Integration Workshop 2006: 83-96
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Marco Danelutto, Patrizio Dazzi:
Joint Structured/Unstructured Parallelism Exploitation in muskel. International Conference on Computational Science (2) 2006: 937-944
2005
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Marco Danelutto, Patrizio Dazzi:
A Java/Jini Framework Supporting Stream Parallel Computations. PARCO 2005: 681-688

Coauthor Index

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