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:

• 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;
• expose an API to be available anywhere and anytime (location-time independent), flexible, resilient and platform-agnostic; and
• include a set of infrastructural services and features addressing cybersecurity, trustworthiness and manageability.

aerOS will:

• use context-awareness to distribute software task (application) execution requests;
• support intelligence as close to the events as possible;
• support execution of services using “abstract resources” (e.g., virtual machines, containers) connected through a smart network infrastructure;
• allocate and orchestrate abstract resources, responsible for executing service chain(s) and (e) support for scalable data autonomy.