Lorenzo Carnevale

Assistant Professor at University of Messina

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Lorenzo Carnevale | Assistant Professor at University of Messina

Journals – Conferences – Book Chapter – Patents

Journal Papers

2024

  1. Lorenzo Carnevale, Giuseppe Floramo, Donatella Di Fabrizio, Salvatore Arena, Angela, Simona Montalto, Pietro Impellizzeri, Carmelo Romeo e Massimo Villari. “Towards a precision medicine Solution for optimal pediatric Laparoscopy: An exploratory data analysis for features Selections”. Biomedical Signal Processing and Control 88 (2024), p. 105321. issn: 1746-8094. (doi: 10.1016/j.bspc.2023.105321).

  2. Lucas R. Frank, Antonino Galletta, Lorenzo Carnevale, Alex B. Vieira e Edelberto Franco Silva. “Intelligent resource allocation in wireless networks: Predictive models for efficient access point management”. Computer Networks 254 (2024), p. 110762. issn: 1389-1286. (doi: 10.1016/j.comnet.2024.110762.

2023

  1. Gabriele Morabito, Christian Sicari, Armando Ruggeri, Antonio Celesti e Lorenzo Carnevale. “Secure-by-design serverless workflows on the Edge–Cloud Continuum through the Osmotic Computing paradigm”. Internet of Things 22 (2023), p. 100737. issn: 2542-6605. (doi: 10.1016/j.iot.2023.100737).

  2. Davide Mulfari, Lorenzo Carnevale e Massimo Villari. “Toward a lightweight ASR solution for atypical speech on the edge”. Future Generation Computer Systems 149 (2023), pp. 455–463. issn: 0167-739X. (doi: 10.1016/j.future.2023.08.002).

  3. Vineet Srivastava, Pramod Kumar Srivastava, Jyoti Mishra, Rudra Pratap Ojha, Purnendu Shekhar Pandey, Radhe Shyam Dwivedi, Lorenzo Carnevale e Antonino Galletta. “Generalized Defensive Modeling of Malware Propagation in WSNs Using Atangana–Baleanu–Caputo (ABC) Fractional Derivative”. IEEE Access 11 (2023), pp. 49042–49058. (doi: 10.1109/ACCESS.2023.3276351).

2022

  1. Julia Zuschnegg, Sandra Sch¨ussler, Lucas Paletta, Magdalena Holter, Gerald Lodron, Thomas Orgel, Silvia Russegger, Michael Schneeberger, Maria Fellner, Josef Steiner, Sandra Pansy-Resch, Dimitrios Prodromou, Sebastian Brunsch, Lorenzo Carnevale, Lara Lammer e Regina Roller-Wirnsberger. “Differences in self and proxy assessments regarding motivation, quality of life and care dependency of people with dementia considering a technology-based intervention”. Alzheimer’s & Dementia 18.S8 (dic. 2022). issn: 1552-5279. (doi: 10.1002/alz.062124).

2021

  1. Sandra Schüssler, Julia Zuschnegg, Lucas Paletta, Gerald Lodron, Josef Steiner, Sandra Pansy-Resch, Dimitrios Prodromou, Sebastian Brunsch, Lorenzo Carnevale, Thomas Orgel, Michael Schneeberger, Silvia Russegger, Maria Fellner, Lara Lammer, Magdalena Holter. “Effects of coach robot pepper versus tablet training on psychosocial and physical outcomes of persons with dementia: A mixed-methods study”. Alzheimer’s & Dementia, vol. 17, issu S11, ISSN: 1552-5279 (December 2021) (doi: 10.1002/alz.053453)

  2. Julia Zuschnegg, Sandra Schüssler, Lucas Paletta, Claudia Voithofer, Gerald Lodron, Thomas Orgel, Silvia Russegger, Michael Schneeberger, Maria Fellner, Josef Steiner, Sandra Pansy-Resch, Magdalena Holter, Dimitrios Prodromou, Sebastian Brunsch, Lorenzo Carnevale, Lara Lammer, Marisa Koini. “Psychosocial effects of the humanoid socially assistive robot Coach Pepper on informal caregivers of people with dementia: A mixed-methods study”. Alzheimer’s & Dementia, vol. 17, issue S11, ISSN: 1552-5279 (December 2021) (doi: 10.1002/alz.052150)

2020

  1. Lorenzo Carnevale and Antonio Celesti and Giacomo Fiumara and Antonino Galletta and Massimo Villari. “Investigating classification supervised learning approaches for the identification of critical patients’ posts in a healthcare social network”. Applied Soft Computing, Elsevier, vol. 90, pp. 106155, ISSN: 1568-4946 (May 2020) (doi: 10.1016/j.asoc.2020.106155) [bibtex]

  2. Sandra Schüssler and Julia Zuschnegg and Lucas Paletta and Maria Fellner and Gerald Lodron and Josef Steiner and Sandra Pansy-Resch and Lara Lammer and Dimitrios Prodromou and Sebastian Brunsch and Magdalena Holter and Lorenzo Carnevale and Silvia Russegger. “The Effects of a Humanoid Socially Assistive Robot Versus Tablet Training on Psychosocial and Physical Outcomes of Persons With Dementia: Protocol for a Mixed Methods Study”. JMIR Research Protocols, JMIR Publications, vol. 9-2, pp. 14927, ISSN: 1929-0748 (February 2020) (doi: 10.2196/14927) [bibtex]

  3. Lorenzo Carnevale and Antonio Celesti and Maria Fazio and Massimo Villari. “A Big Data Analytics Approach for the Development of Advanced Cardiology Applications”. Information, MDPI, vol. 11-2, pp. 60, ISSN: 2078-2489 (January 2020) (doi: 10.3390/info11020060) [bibtex]

2019

  1. Antonio Celesti and Davide Mulfari and Antonino Galletta and Maria Fazio and Lorenzo Carnevale and Massimo Villari. “A study on container virtualization for guarantee quality of service in Cloud-of-Things”. Future Generation Computer Systems, Elsevier, vol. 99, pp. 356-364, ISSN: 0167-739X (October 2019) (doi: 10.1016/j.future.2019.03.055) [bibtex]

  2. Lorenzo Carnevale and Antonio Celesti and Antonino Galletta and Schahram Dustdar and Massimo Villari. “Osmotic computing as a distributed multi-agent system: The Body Area Network scenario”. Internet of Things, Elsevier, vol. 5, pp. 130-139, ISSN: 2542-6605 (March 2019) (doi: 10.1016/j.iot.2019.01.001) [bibtex]

  3. Antonio Celesti and Maria Fazio and Antonino Galletta and Lorenzo Carnevale and Jiafu Wan and Massimo Villari. “An approach for the secure management of hybrid cloud–edge environments”. Future Generation Computer Systems, Elsevier, vol.90, pp. 1-19, ISSN: 0167-739X (January 2019) (doi: 10.1016/j.future.2018.06.043) [bibtex]

  4. Lorenzo Carnevale and Rocco Salvatore Calabrò and Antonio Celesti and Antonino Leo and Maria Fazio and Placido Bramanti and Massimo Villari. “Toward Improving Robotic-Assisted Gait Training: Can Big Data Analysis Help Us?”. Internet of Things Journal, IEEE, vol. 6-2, pp. 1419-1426, ISSN: 2327-4662 (April 2019) (doi: 10.1109/JIOT.2018.2855937) [bibtex]

2018

  1. Antonino Galletta and Lorenzo Carnevale and Alessia Bramanti and Maria Fazio. “An Innovative Methodology for Big Data Visualization for Telemedicine”. Transactions on Industrial Informatics, IEEE, vol. 15-1, pp. 490-497, ISSN: 1551-3203 (January 2019) (doi: 10.1109/TII.2018.2842234) [bibtex]

  2. Lorenzo Carnevale and Antonio Celesti and Maria Di Pietro and Antonino Galletta. “How to Conceive Future Mobility Services in Smart Cities According to the FIWARE frontierCities Experience”. Cloud Computing, IEEE, vol. 5-5, pp. 25-36, ISSN: 2325-6095 (October 2018) (doi: 10.1109/MCC.2018.053711664) [bibtex]

2017

  1. Antonio Celesti and Antonino Galletta and Lorenzo Carnevale and Maria Fazio and Aime Ĺay-Ekuakille and Massimo Villari. “An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention Based on Mobile Sensor Data Processing”. Sensors Journal, IEEE, vol. 18-12, pp. 4795-4802, ISSN: 1530-437X (June 2018) (doi: 10.1109/JSEN.2017.2777786) [bibtex]

  2. Antonino Galletta and Lorenzo Carnevale and Antonio Celesti and Maria Fazio and Massimo Villari. “A Cloud-Based System for Improving Retention Marketing Loyalty Programs in Industry 4.0: A Study on Big Data Storage Implications”. IEEE Access, IEEE, vol. 6, pp. 5485-5492, ISSN: 2169-3536 (November 2017) (doi: 10.1109/ACCESS.2017.2776400) [bibtex]

Conference Papers

2024

  1. Lorenzo Carnevale, Antonio Filograna, Francesco Arigliano, Roberto Marino, Armando Ruggeri e Maria Fazio. “Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture”. Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies (BDCAT), Taormina, Italy, 2024. (doi: 10.1145/3632366.3632371).

  2. Lorenzo Carnevale, Giuseppe Floramo, Donatella Di Fabrizio, Salvatore Arena, Angela Simona Montalto, Pietro Impellizzeri e Carmelo Romeo. “Computation of the Abdominal Compliance for Pediatric Laparoscopy by Fitting Curve with the Levenberg-Marquardt Algorithm”. Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies (BDCAT), Taormina, Italy, 2024. (doi: 10.1145/3632366.3632376).

  3. Mario Colosi, Marco Garofalo, Lorenzo Carnevale, Roberto Marino, Maria Fazio e Massimo Villari. “EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management”. Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies (BDCAT), Taormina, Italy, 2024. (doi: 10.1145/3632366.3632372).

  4. Roberto Marino, Lorenzo Carnevale, Maria Fazio e Massimo Villari. “Make Federated Learning a Standard in Robotics by Using ROS2”. Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies (BDCAT), Taormina, Italy, 2024. (doi: 10.1145/3632366.3632373).

  5. Roberto Marino, Antonino Marino, Domenica De Domenico, Lorenzo Carnevale e Salvatore Magazzù. “OpenSEM: an Open Framework for Data-Driven Structural and Environmental Monitoring”. Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies (BDCAT), Taormina, Italy, 2024. (doi: 10.1145/3632366.3632377).

  6. Serena Sebbio, Gabriele Morabito, Alessio Catalfamo, Lorenzo Carnevale e Maria Fazio. “Federated Learning on Raspberry Pi 4: A Comprehensive Power Consumption Analysis”. Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing (UCC). Taormina (Messina), Italy: Association for Computing Machinery, 2024. (doi: 10. 1145/3603166.3632545).

2023

  1. Lorenzo Carnevale, Annamaria Ficara, Gianluca Catalfamo, Antonino Galletta, Maria Fazio e Massimo Villari. “Secure and Energy Efficient Filtered Over-the-Air Internet of Things Setup in a Wireless Mesh Network for Firmware Freshness”. IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 3904–3913. (doi: 10.1109/BigData59044.2023.10386600).

  2. Giuseppe Di Modica, Antonino Galletta, Lorenzo Carnevale, Ahmad Alkhansa, Alessandro Costantini, Daniele Cesini, Paolo Bellavista e Massimo Villari. “Orchestration of Containerized Applications in the Cloud Continuum”. IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Atlanta, United States, 2023, pp. 44–49. (doi: 10.1109/PerComWorkshops56833.2023.10150375).

  3. Roberto Marino, Lorenzo Carnevale e Massimo Villari. “When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework”. IEEE Symposium on Computers and Communications (ISCC), Tunis, Tunisia, 2023, pp. 1–6. (doi: 10.1109/ISCC58397.2023).

  4. Gabriele Morabito, Christian Sicari, Lorenzo Carnevale, Antonino Galletta, Giuseppe Di Modica e Massimo Villari. “Securing Serverless Workflows on the Cloud Edge Continuum”. IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), Philadelphia, United States, 2023, pp. 118–124. (doi: 10.1109/CCGridW59191.2023.00032).

  5. Davide Mulfari, Lorenzo Carnevale, Antonino Galletta e Massimo Villari. “Edge Computing Solutions Supporting Voice Recognition Services for Speakers with Dysarthria”. IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), Philadelphia, United States, 2023, pp. 231–236. (doi: 10.1109/CCGridW59191.2023.00047).

  6. Christian Sicari, Alessio Catalfamo, Lorenzo Carnevale, Antonino Galletta, Daniel Balouek-Thomert, Manish Parashar e Massimo Villari. “TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management”. IEEE Symposium on Computers and Communications (ISCC), Tunis, Tunisia, 2023, pp. 1–6. (doi: 10.1109/ISCC58397.2023.10217920).

2022

  1. Alessio Catalfamo, Lorenzo Carnevale, Antonino Galletta, Francesco Martella, Antonio Celesti, Maria Fazio e Massimo Villari. “Scaling Data Analysis Services in an Edge-based Federated Learning Environment”. IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), Vancouver, United States, 2022, pp. 167–172. (doi: 10.1109/UCC56403.2022.

  2. Christian Sicari, Lorenzo Carnevale, Antonino Galletta e Massimo Villari. “OpenWolf: A Serverless Workflow Engine for Native Cloud-Edge Continuum”. IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy, 2022, pp. 1–8. (doi: 10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927926).

  3. Lorenzo Carnevale, Alessandro Ortis, Giancarlo Fortino, Sebastiano Battiato, Massimo Villari. “From Cloud-Edge to Edge-Edge Continuum: the Swarm-Based Edge Computing Systems”. IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy, September 2022 (doi: 10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927883)

  4. Antonio Celesti, Maria Fazio, Lorenzo Carnevale, Massimo Villari. “A NLP-based Approach to Improve Speech Recognition Services for People with Speech Disorders”. IEEE Symposium on Computers and Communications (ISCC), Rhodes, Greece, July 2022 (doi 10.1109/ISCC55528.2022.9912940)

  5. Armando Ruggeri, Antonino Galletta, Lorenzo Carnevale, Massimo Villari. “An Energy Efficiency Analysis of the Blockchain-Based extended Triple Diffie-Hellman Protocol for IoT”. IEEE Symposium on Computers and Communications (ISCC), Rhodes, Greece, May 2022 (doi 10.1109/CCGrid54584.2022.00100)

  6. Vasileios Mygdalis, Lorenzo Carnevale, Jose Ramiro Martínez-De-Dios, Dmitriy Shutin, Giovanni Aiello, Massimo Villari, Ioannis Pitas. “OTE: Optimal Trustworthy EdgeAI solutions for smart cities”. 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Taormina, Italy, May 2022 (doi: 10.1109/CCGrid54584.2022.00100)

2021

  1. Lorenzo Carnevale, Luisa Damiano, Antonio Fleres, and Massimo Villari. “Visitor Artwork Ambient and how Making New Functions of Cultural Heritage by Using Augmented Reality within an Ambient Intelligence”. 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). October 2021, pp. 8-12 (doi: 10.1109/ISMAR-Adjunct54149.2021.00013)

  2. Lorenzo Carnevale, Armando Ruggeri, Francesco Martella, Antonio Celesti, Maria Fazio e Massimo Villari. “Multi Hop Reconfiguration of End-Devices in Heterogeneous Edge-IoT Mesh Networks”. 2021 IEEE Symposium on Computers and Communications (ISCC), Athenes, Greece, September 2021 (doi: 10.1109/ISCC53001.2021.9631500)

2020

  1. Emanuele Carlini, Lorenzo Carnevale, Massimo Coppola, Patrizio Dazzi, Gabriele Mencagli, Domenico Talia e Massimo Villari. “An Osmotic Ecosystem for Data Streaming Applications in Smart Cities”. Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge (FRAME), Virtual Event, Sweden: Association for Computing Machinery, 2020, pp. 27–31 (ISBN: 9781450383844, doi: 10.1145/3452369.3463822)

2019

  1. Alina Buzachis and Antonino Galletta and Antonio Celesti and Lorenzo Carnevale and Massimo Villari. “Towards Osmotic Computing: a Blue-Green Strategy for the Fast Re-Deployment of Microservices”, 2019 IEEE Symposium on Computers and Communications (ISCC), Barcelona, Spain, June 2019, pp. 1-6 (doi: 10.1109/ISCC47284.2019.8969621) [bibtex]

2018

  1. Lorenzo Carnevale and Antonino Galletta and Maria Fazio and Antonio Celesti and Massimo Villari. “Designing a FIWARE Cloud Solution for Making Your Travel Smoother: The FLIWARE Experience”. 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC), Philadelphia, PA, USA, October 2018, pp. 392-398 (doi: 10.1109/CIC.2018.00059) [bibtex]

  2. Antonino Galletta and Lorenzo Carnevale and Alina Buzachis and Antonio Celesti and Massimo Villari. “A Microservices-Based Platform for Efficiently Managing Oceanographic Data”. 2018 4th International Conference on Big Data Innovations and Applications (Innovate-Data), Barcelona, Spain, August 2018, pp. 25-29 (doi: 10.1109/Innovate-Data.2018.00011) [bibtex]

  3. Massimo Villari and Antonino Galletta and Antonio Celesti and Lorenzo Carnevale and Maria Fazio. “Osmotic Computing: Software Defined Membranes meet Private/Federated Blockchains”. 2018 IEEE Symposium on Computers and Communications (ISCC), Natal, Brazil, June 2018, pp. 1292-1297 (doi: 10.1109/ISCC.2018.8538546) [bibtex]

  4. Lorenzo Carnevale and Antonio Celesti and Antonino Galletta and Schahram Dustdar and Massimo Villari. “From the Cloud to Edge and IoT: a Smart Orchestration Architecture for Enabling Osmotic Computing”. 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA), Krakow, Poland, May 2018, pp. 419-424 (doi: 10.1109/WAINA.2018.00122) [bibtex]

  5. Alina Buzachis and Antonino Galletta and Lorenzo Carnevale and Antonio Celesti and Maria Fazio and Massimo Villari. “Towards Osmotic Computing: Analyzing Overlay Network Solutions to Optimize the Deployment of Container-Based Microservices in Fog, Edge and IoT Environments”. 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), Washington, DC, USA, May 2018, pp. 1-10 (doi: 10.1109/CFEC.2018.8358729) [bibtex]

  6. Antonino Galletta and Salma Allam and Lorenzo Carnevale and Moulay Ali Bekri and Rachid El Ouahbi and Massimo Villari. “An Innovative Methodology for Big Data Visualization in Oceanographic Domain”. Proceedings of the International Conference on Geoinformatics and Data Analysis, ICGDA 18, Prague, Czech Republic, April 2018, pp. 103-107 (doi: 10.1145/3220228.3220238) [bibtex]

  7. Giacomo Fiumara and Antonio Celesti and Antonino Galletta and Lorenzo Carnevale and Massimo Villari. “Applying Artificial Intelligence in Healthcare Social Networks to Identity Critical Issues in Patients’ Posts”. Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: AI4Health, Funchal, Medeira, Portugal, January 2018 (doi: 10.5220/0006750606800687) [bibtex]

  8. Salma Allam and Antonino Galletta and Lorenzo Carnevale and Moulay Ali Bekri and Rachid El Ouahbi and Massimo Villari. “A Cloud Computing Workflow for Managing Oceanographic Data”. Advances in Service-Oriented and Cloud Computing, ESOCC 2017, Oslo, Norwey, September 2017, pp. 73-85 (doi: 10.1007/978-3-319-79090-9_5) [bibtex]

2017

  1. Lorenzo Carnevale and Antonio Celesti and Maria Fazio and Placido Bramanti and Massimo Villari. “Heart Disorder Detection with Menard Algorithm on Apache Spark”. Service-Oriented and Cloud Computing, ESOCC 2017, Oslo, Norwey, September 2017, pp. 229-237 (doi: 10.1007/978-3-319-67262-5_17) [bibtex]

  2. Lorenzo Carnevale and Antonino Galletta and Antonio Celesti and Maria Fazio and Maurizio Paone and Placido Bramanti and Massimo Villari. “Big Data HIS of the IRCCS-ME Future: The Osmotic Computing Infrastructure”. Cloud Infrastructures, Services, and IoT Systems for Smart Cities, CN4IoT, Brindisi, Italy, April 2017, pp. 199-207 (doi: 10.1007/978-3-319-67636-4_21) [bibtex]

  3. Antonino Galletta and Lorenzo Carnevale and Antonio Celesti and Maria Fazio and Massimo Villari. “BOSS: A Multitenancy Ad-Hoc Service Orchestrator for Federated Openstack Clouds”. 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud), Prague, Czech Republic, August 2017, pp. 351-357 (doi: 10.1109/FiCloud.2017.10) [bibtex]

  4. Antonio Celesti and Lorenzo Carnevale and Antonino Galletta and Maria Fazio and Massimo Villari. “A Watchdog Service Making Container-Based Micro-services Reliable in IoT Clouds”. 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud), Prague, Czech Republic, August 2017, pp. 372-378 (doi: 10.1109/FiCloud.2017.57) [bibtex]

  5. Lorenzo Carnevale and Antonio Celesti and Maria Fazio and Placido Bramanti and Massimo Villari. “How to enable clinical workflows to integrate big healthcare data”. 2017 IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, July 2017, pp. 857-862 (doi: 10.1109/ISCC.2017.8024634) [bibtex]

  6. Fabrizio Celesti and Antonio Celesti and Lorenzo Carnevale and Antonino Galletta and Salvatore Campo and Agata Romano and Placido Bramanti and Massimo Villari. “Big data analytics in genomics: The point on Deep Learning solutions”. 2017 IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, July 2017, pp. 306-309 (doi: 10.1109/ISCC.2017.8024547) [bibtex]

Book Chapters

2024

  1. Christian Sicari, Alessio Catalfamo, Lorenzo Carnevale, Antonino Galletta, Antonio Celesti, Maria Fazio e Massimo Villari. “Toward the Edge-Cloud Continuum Through the Serverless Workflows”. Device-Edge-Cloud Continuum: Paradigms, Architectures and Applications. Claudio Savaglio, Giancarlo Fortino, MengChu Zhou and Jianhua Ma. Springer Nature Switzerland, 2024, pp. 1–18. (doi: 10.1007/978-3-031-42194-5_1).

Patents

2020

  1. Massimo Villari and Alina Mihaela Buzachis and Lorenzo Carnevale and Antonino Galletta and Francesco Martella and Claudio Cincotta. “Sistema di comunicazione che utilizza una rete mesh”. Ministero dello Sviluppo Economico, Direzione Generale per la Tutela della Priprietà Industriale, Ufficio Italiano Brevetti e Marchi. Identifier: 102018000010500