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Selected Publications

This page briefly reports a selected set of papers either authored or co-authored by me. Maintaining an always up-to-date, complete, list of my research works is beyond the scope of this page. For the full list of publications please refer to my Google Scholar profile.

Books

Cloud Broker and Cloudlet for Workflow Scheduling

Authors: Chan-Hyun Youn, Min Chen, Patrizio Dazzi

Abstract:
This book blends the principles of cloud computing theory and discussion of emerging technologies in cloud broker systems, enabling users to realize the potential of an integrated broker system for scientific applications and the Internet of Things (IoT). Due to dynamic situations in user demand and cloud resource status, scalability has become crucial in the execution of complex scientific applications. Therefore, data analysts and computer scientists must grasp workflow management issues in order to better understand the characteristics of cloud resources, allocate these resources more efficiently and make critical decisions intelligently. Thus, this book addresses these issues through a discussion of some novel approaches and engineering issues in cloud broker systems and cloudlets for workflow scheduling. This book closes the gaps between cloud programmers and scientific application designers, describing the fundamentals of cloud broker system technology and state-of-the-art applications in implementation and performance evaluation. The book gives details of scheduling structures and processes, providing guidance and inspiration for users including cloud programmers, application designers and decision-makers with involvement in cloud resource management.

Theses

PhD Thesis
“Tools and Models for High Level Parallel and Grid Programming”
IMT Lucca, Italy, 2008 [link]

Master Thesis
“JJPF: uno strumento per calcolo parallelo con JINI”
University of Pisa, 2004 [link]

Journal Papers

  • Tarik Taleb, Abderrahmane Boudi, Luis Rosa, Luis Cordeiro, Theodoros Theodoropoulos, Konstantinos Tserpes, Patrizio Dazzi, Antonis Protopsaltis, Richard Li, “Towards Supporting XR Services: Architecture and Enablers”, IEEE Internet of Things Journal, 2022. In Press. [link]
  • Theodoros Theodoropoulos, Antonios Makris, Abderrahmane Boudi, Tarik Taleb, Uwe Herzog, Luis Rosa, Luis Cordeiro, Konstantinos Tserpes, Elena Spatafora, Alessandro Romussi, Enrico Zschau, Manos Kamarianakis, Antonis Protopsaltis, George Papagiannakis, Patrizio Dazzi, “Cloud-based XR Services: A Survey on Relevant Challenges and Enabling Technologies”, Journal of Networking and Network Applications, Volume 2, Issue 1, pp. 1–22. 2022 [link]
  • Patrizio Dazzi, Matteo Mordacchini, “Scalable decentralized indexing and querying of multi-streams in the fog”, Journal of Grid Computing vol. 18, pag. 395–418, 2020 [link]
  • Rosa Gini, Martijn J. Schuemie, Alessandro Pasqua, Emanuele Carlini, Francesco Profili, Iacopo Cricelli, Patrizio Dazzi, Valentina Barletta, Paolo Francesconi, Francesco Lapi, Andrea Donatini, Giulia Dal Co, Modesta Visca, Mariadonata Bellentani, Miriam Sturkenboom, Niek Klazinga, “Monitoring compliance with standards of care for chronic diseases using healthcare administrative databases in Italy: Strengths and limitations”, PLOS ONE, vol. 12, 2017 [link]
  • 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”, International Journal of Data Science and Analytics, vol. 4, pag. 285-299, 2017 [link]
  • Gaetano F Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, “QoS-aware genetic cloud brokering”, Future Generation Computer Systems, vol. 75, pag. 1-13, 2017 [link]
  • Patrizio Dazzi, Emanuele Carlini, Alessandro Lulli, Laura Ricci, “TELOS: An Approach for Distributed Graph Processing Based on Overlay Composition”, Scalable Computing: Practice and Experience, vol. 18, pag. 35-49, 2017 [link]
  • Emanuele Carlini, Patrizio Dazzi, Matteo Mordacchini, “A Holistic Approach for High-level Programming of Next-generation Data-intensive Applications Targeting Distributed Heterogeneous Computing Environment”, Procedia Computer Science, vol. 97, pag. 131-134, 2016 [link]
  • Gaetano F Anastasi, Massimo Coppola, Patrizio Dazzi, Marco Distefano, “QoS Guarantees for Network Bandwidth in Private Clouds”, Procedia Computer Science, vol. 97, pag. 4-13, 2016 [link]
  • Alessandro Lulli, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese, Laura Ricci, “Fast Connected Components in Large Graphs by Vertex Pruning”, IEEE Transactions on Parallel and Distributed Systems,  vol. PP, issue 99, 2016 [link]
  • Patrizio Dazzi, “Toward Sci-φ: A Lightweight Cloud PaaS for Developing Embarrassingly Parallel Applications Based on Jini”, The Scientific World Journal, vol. 2014, n. 526953, 2014 [link]
  • Ranieri Baraglia and Patrizio Dazzi and Gabriele Capannini and Giancarlo Pagano, “A multi-criteria job scheduling framework for large computing farms”, Journal of Computer and System Sciences, vol.79, issue 2, 2013 [link]
  • Ranieri Baraglia and Patrizio Dazzi and Matteo Mordacchini and Laura Ricci, “A peer-to-peer recommender system for self-emerging user communities based on gossip overlays”, Journal of Computer and System Sciences, vol.79, issue 2, 2013 [link]
  • Marco Aldinucci and Marco Danelutto and Patrizio Dazzi, “Muskel: an expandable skeleton environment”, Scalable Computing: Practice and Experience, vol.8, issue 4, 2007 [link]

Selected Contributions to Conferences and Workshops

  • 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”, Workshop on Flexible Resource and Application Management on the Edge, ACM High-Performance Distributed Computing 2022
  • Emanuele Carlini, Patrizio Dazzi, Matteo Mordacchini, “A Mathematical Model for Latency Constrained Self-Organizing Application Placement in the Edge”, Workshop on Flexible Resource and Application Management on the Edge, ACM High-Performance Distributed Computing 2022
  • 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”, IEEE CloudNet 2021
  • 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”, IEEE COINS 2021
  • 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
  • Luca Ferrucci, Matteo Mordacchini, Massimo Coppola, Emanuele Carlini, Hanna Kavalionak, Patrizio Dazzi, “Latency Preserving Self-optimizing Placement at the Edge”, Workshop on Flexible Resource and Application Management on the Edge, ACM High-Performance Distributed Computing 2021
  • 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”, Workshop on Flexible Resource and Application Management on the Edge, ACM High-Performance Distributed Computing 2021
  • Emanuele Carlini, Lorenzo Carnevale, Massimo Coppola, Patrizio Dazzi, Gabriele Mencagli, Domenico Talia, Massimo Villari, “An Osmotic Ecosystem for Data Streaming Applications in Smart Cities”, Workshop on Flexible Resource and Application Management on the Edge, ACM High-Performance Distributed Computing 2021
  • Hanna Kavalionak, Emanuele Carlini, Patrizio Dazzi, Luca Ferrucci, Matteo Mordacchini, Massimo Coppola, “Impact of Network Topology on the Convergence of Decentralized Federated Learning Systems”, IEEE ISCC 2021
  • Vinicius Monteiro de Lira, Emanuele Carlini, Patrizio Dazzi, “POLAr: Geographic Placement Optimization for Latency Sensitive Applications”, IEEE MDM 2019
  • Gabriele Mencagli, Patrizio Dazzi, Nicolò Tonci, “SpinStreams: a Static Optimization Tool for Data Stream Processing Applications”, ACM/IFIP Middleware 2018
  • 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
  • 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
  • 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
  • Patrizio Dazzi, Pietro Cassarà, “How to Support the Machine Learning Take-Off: Challenges and Hints for Achieving Intelligent UAVs”, WISATS 2017
  • Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell’Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci, “Improving population estimation from mobile calls: A clustering approach”, IEEE ISCC 2016
  • Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Laura Ricci, “Distributed graph processing: an approach based on overlay composition”, ACM SAC 2016
  • Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Matteo Mordacchini, Andrea Passarella,
  • “Self-Optimising Decentralised Service Placement in Heterogeneous Cloud Federation”, IEEE SASO 2016
  • Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese, “Cracker: Crumbling large graphs into connected components”, IEEE ISCC 2015
  • Massimiliano Bertolucci, Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Laura Ricci, “Static and Dynamic Big Data Partitioning on Apache Spark”, PARCO 2015
  • Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi, “Distributed Current Flow Betweenness Centrality”, IEEE SASO 2015
  • Gaetano F. Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, “QBROKAGE: A Genetic Approach for QoS Cloud Brokering”, IEEE CLOUD 2014
  • Gaetano F. Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Marco Distefano, “An OVF toolkit supporting Inter-Cloud application splitting”, IEEE CloudNet 2014
  • Gaetano F. Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Aliaksandr Lazouski, Fabio Martinelli, Gaetano Mancini, Paolo Mori, “Usage Control in Cloud Federations”, IEEE IC2E 2014
  • 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”, IEEE SASO 2014
  • Matteo Mordacchini, Patrizio Dazzi, Ranieri Baraglia, Laura Ricci, “Towards GROUP protocol formalization”, P2P 2013
  • Ranieri Baraglia, Patrizio Dazzi, Barbara Guidi, Laura Ricci, “GoDel: Delaunay overlays in P2P networks via Gossip”, P2P 2012
  • Patrizio Dazzi, Matteo Mordacchini, Fabio Baglini, “Experiences with Complex User Profiles for Approximate P2P Community Matching”, IEEE CIT 2011
  • Matteo Mordacchini, Ranieri Baraglia, Patrizio Dazzi, Laura Ricci, “A P2P REcommender System based on Gossip Overlays (PREGO)”, IEEE CIT 2010
  • Ranieri Baraglia, Patrizio Dazzi, Gabriele Capannini, Giancarlo Pagano, “A Multi-criteria Job Scheduling Framework for Large Computing Farms”, IEEE CIT 2010
  • 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”, Euromicro PDP 2008
  • Marco Danelutto, Patrizio Dazzi, “Joint Structured/Unstructured Parallelism Exploitation in muskel”, IEEE ICCS 2006
  • Marco Danelutto, Patrizio Dazzi, “A Java/Jini Framework Supporting Stream Parallel Computations”, PARCO 2005