Innovative Cloud and Edge based systems for smart life

In the last years, Smart Cities are becoming very popular within the scientific community. There are many definitions of Smart Cities: according to Giffinger a city becomes smart only if the performance indicators improve for several interconnected areas, such as economy, people, governance, environment, living and mobility; according to other authors, Smart Cities have to include e-health. In this thesis, we proposed innovative systems for Smart Cities. First of all, we described the basic characteristics and infrastructure of these services. In particular, we focus on four aspects. First, we analyze the overhead introduced by container virtualization. Second, we discuss how to distribute microservices among federated tenants. Third, we evaluate the overhead introduced by securing a Message Oriented Middleware able to manage microservices. Finally, we compare different Secret Share techniques for storing files. Then we considered four specific use-cases. In particular, we discussed: i) a Big-Data analytics platform for telemedicine that allows physicians to follow the evolution of the care of their patients by looking at colored circles; ii) an innovative tool for the management of Electronic Health Records (EHRs) that, by using the public Cloud, helps hospital practitioners to find the right EHR per each patient; iii) a way to manage pictures taken from drones adding redundancy and security by using Nested Secret Share algorithms; and iv) a system for traffic monitoring and reducing vehicular accidents applicable both to human-driven vehicles and autonomous ones. The proposed systems were validated through specific experiments.