This workshop aims to collect original papers in the field of distributed systems (i.e. distributed problem solving, orchestration of data and services over Cloud and Edge Computing) and intelligent systems (i.e swarm intelligence, multi-agent systems, and distributed artificial intelligence). Authors are encouraged to contribute by presenting new studies, algorithms, and use cases. Submitted papers must be original and not currently be under review by another conference or journal.

Co-Chairs
▪ Lorenzo Carnevale, Università degli Studi di Messina, Messina, Italy
▪ Antonino Galletta, Università degli Studi di Messina, Messina, Italy
▪ Mario A.R. Dantas, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil
▪ Massimo Villari, Università degli Studi di Messina, Messina, Italy

Metaverse is a disruptive technology aiming to integrate the real with the virtual world. Several applications may benefit from this new technology, like entertainment, social media, business, and trading. Blockchain technology and decentralized solutions are a natural way to support Metaverse applications, since they can remove intermediaries and ensure trust. Furthermore, cryptocurrencies, NFT, and the token economy were shown to have sufficient technology maturity to integrate seamlessly with the Metaverse. This workshop aims to provide a venue for researchers to present and discuss important aspects of blockchain, metaverse, and their relationship. The definition of these applications requires many challenges, like the choice of the blockchain, the integration among various technologies, such as blockchain, Augmented/Virtual Reality (AR/VR), AI and IoT, and the definition of proper business models. The workshop aims to investigate open challenges for such applications, related to both the application's design and to the definition of proper support.

Co-Chairs
▪ Laura Ricci, University of Pisa, Italy
▪ Barbara Guidi, University of Pisa, Italy
▪ Radu Prodan, University of Klagenfurt, Austria

Billions of users daily interact with social media platforms such as Facebook, Instagram, Pinterest, Twitter, etc. The checking of the preferred social media platform is becoming the first thing to do at wake-up time, and the last thing to do before falling asleep.
With no doubts, social media revolutionized the behavior of millions of people and the functioning of different ecosystems (e.g., news, entertainment and business, just to name a few). Indeed, within social media, people communicate, collaborate and share information about people, brands, products, services, personal preferences, issues and opinions.
It is therefore not surprising that social media sensing is being used to understand people’s opinions and behaviors. For instance, politicians analyze social media to gauge the public mood and to improve their political decisions, enterprise managers analyze social media conversations to increase customers engagement by tracking what people think about products and services, city administrators use social media to get insights about citizens’ opinions with the goal of enhancing the life quality of the city, advertisers use advanced analytics tools to analyze what people think of a brand and to produce tailored commercial messages.
However, the use of social media sensing to get insights about people and society is in its infancy stage, is not trivial and involves many different disciplines: from computer science to social engineering, from psychology to linguistics, from semiotics to economics, from sociology to philosophy.

Co-Chairs
▪ Marco Furini, University of Modena and Reggio Emilia, Italy
▪ Giovanni Delnevo, University of Bologna, Italy

The focus of MoCS 2022 is in the convergence of cloud paradigm in form of Multi-Access Edge Computing (MEC), context and privacy-aware applications for complex scenarios like smart cities and learning-driven approaches for urban planning. The workshop aims at disseminating results on both theoretical and applicative aspects.

Co-Chairs
▪ Pericle Perazzo, University of Pisa, Italy
▪ Armando Ruggeri, University of Messina, Italy
▪ Javier Berrocal, University of Extremadura, Spain

This workshop focuses on the performance evaluation of distributed systems (e.g., edge-based processing, federated learning, and Ad Hoc communication), as well as web-based service architectures using both analytical methods and simulation studies. Authors are encouraged to submit papers presenting new research related to QoS and communication performance evaluation of these systems. Submitted papers must not have been published elsewhere nor currently be under review by another conference or journal.

Chair
▪ Lynda Mokdad, University Paris XII, France