The last years have framed a permanent change of vision of Cloud systems. Nowadays, the most important stakeholders such as private companies, public agencies and research communities rely on the Cloud not only for sharing hardware infrastructures (such as the IaaS services) but also, and more importantly, for the software as well as for the data services. Nevertheless, most of the players today require also to analyze data available on the Cloud with a holistic approach provided often by big data analytics techniques.

Under this respect, services designed for a complex scenarios like the Smart Cities and Industry 4.0 scenarios benefit of such a new era of the Cloud. The complexity of human dynamics in a city can be better analyzed by decentralizing the infrastructure, integrating and opening the data and sharing the services. All of such features are the core level of modern Cloud systems. Despite such a rapid (re)evolution of Cloud systems, it is still unclear whether current solutions are able to withstand the abrupt and unpredictably changes imposed by the emergent application scenarios. Moreover, if only effective Cloud management solutions could pave the way to efficient Green computing systems for the processing of real-world Big Data knowledge base and streams, so far only a few seminal works have studied reciprocal benefits and challenges of Cloud and Green solutions for Big Data in large-scale Internet-wide deployment environments. That is case of the upcoming Industry 4.0 deployments.

The MoCS workshop started following the Cloud stream 7 years ago. Our mission is to keep the flow of novelty of Cloud systems and to put on the foreground all the above issues, with a particular attention this year on the convergence of Cloud systems together with Smart City systems to support Big Data for Industry 4.0 scenarios.

Topics of interest include, but are not limited to the following:

- Experiences on the use of Cloud systems when applied to services designed for Smart Cities;
- Analytical and simulation models and tools to measure systems scalability and to achieve resource saving in socio-technical Smart City systems;
- Novel adaptive management solutions for scalable, maintainable, cost-effective Cloud provision, at all software stack layers;
- New models and paradigms for the management of Cloud services at the host level, within/between data centres (intra- /inter-domain);
- Big Data flows processing for Industry 4.0 scenarios;
- Assessment of the relationship between IoT and Cloud systems when applied to Industrial IoT scenarios;
- Experiences on the (re)use of open platforms for services designed for Smart Cities integrated with Cloud systems.