Mobile applications have become the platform of choice for deploying innovative services. The interaction among users plays a central role in many of these novel applications, including multi-user games, applications for enhancing user experience in large events and touristic activities, among others. Traditional cloud-based architectures, where all interactions are mediated by servers lead to scalability and reliability issues.
In this project we propose adopting a decentralized architecture where mobile devices communicate directly and rely on cloud and edge resources for providing efficient, highly available and reliable solutions. To make these solutions a reality, we are focusing on the following three main challenges:
* Efficient communication among clients: we are developing efficient qnd robust overlay algorithms to support the communications among the elements of the system. These algorithms are combining the use of peer-to-peer connection among mobile client for fast interaction and the use of connections with edge and cloud node for providing robustness and ease management.
* Algorithms for partially replicated data: as each user is only interested in a small fraction of the data maintained by the system, and that the data evolves over time, it is necessary to develop algorithm for partial and dynamic replication.
* Security mechanisms: we are focusing primarily on preventing unauthorized operations, while still allowing fast peer-to-peer interaction among mobile nodes. In this context, we are working not only on algorithms for providing security guarantees but also on programming abstractions for dealing with the problem.
On the event of the adoption of the draft regulation laying down measures for a high common level of cybersecurity at the institutions, bodies, offices and agencies of the Union, the AI4HealthSec project kicked off a process to provide its opinion.
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