Resumen
The project aerOS aims at transparently utilising the resources on the edge-to-cloud computing
continuum for enabling applications in an effective manner, incorporating multiple services
deployed on such a path. Therefore, aerOS will establish the missing piece: a common meta operating
system that follows a collaborative IoT-edge-cloud architecture supporting flexible deployments
(e.g., federated or hierarchical), bringing tremendous benefits as it enables the distribution of
intelligence and computation - including Artificial Intelligence (AI), Machine Learning (ML), and
big data analytics - to achieve an optimal solution while satisfying the given constraints. The
overarching goal of aerOS is to design and build a virtualized, platform-agnostic meta operating
system for the IoT edge-cloud continuum. As a solution, to be executed on any Infrastructure
Element within the IoT edge-cloud continuum - hence, independent from underlying hardware and
operating system(s) - aerOS will: (i) deliver common virtualized services to enable orchestration,
virtual communication (network-related programmable functions), and efficient support for frugal,
explainable AI and creation of distributed data-driven applications; (ii) expose an API to be
available anywhere and anytime (location-time independent), flexible, resilient and platform-
agnostic; and (iii) include a set of infrastructural services and features addressing
cybersecurity, trustworthiness and manageability. aerOS will: (a) use context-awareness to
distribute software task (application) execution requests; (b) support intelligence as close to the
events as possible; (c) support execution of services using "abstract resources" (e.g., virtual
machines, containers) connected through a smart tructure; (d) allocate and orchestrate abstract
resources, responsible for executing service chain(s) and (e) support for
scalable data autonomy.
