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 and my DBLP 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]

Selected Journal Papers

  • Gabriele Mencagli, Patrizio Dazzi and Massimo Coppola, “Springald: GPU-accelerated Window-based Aggregates over Out-of-Order Data Streams”, IEEE Transactions on Parallel & Distributed Systems, doi:10.1109/TPDS.2024.3431611
  • Luca Ferrucci, Matteo Mordacchini, Patrizio Dazzi, “Decentralized Replica Management in Latency-Bound Edge Environments for Resource Usage Minimization”, IEEE Access, 12: 19229-19249 (2024)
  • Antonios Makris, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Theodoros Theodoropoulos, Patrizio Dazzi, Konstantinos Tserpes, “Pro-active component image placement in Edge computing environments”, Future Generation Computer Systems 157: 344-359 (2024)
  • Masoud Shokrnezhad, Tarik Taleb, Patrizio Dazzi, “Double Deep Q-Learning-Based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications”, IEEE Transaction on Mobile Computing 23(5): 5097-5110 (2024)
  • 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”, International Journal on Information Management and Data Insights, 3(1): 100158 (2023)
  • 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 Things Journal 10(4): 3567-3586 (2023) [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]
  • 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. 28, no. 3, pp. 760-773, 2017 [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]

Recent 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