The aerOS project aims to transparently utilise resources across the edge-to-cloud computing continuum to effectively enable applications that involve multiple distributed services along the way.

Therefore, aerOS will provide the missing piece: a common meta-operating system that follows a collaborative IoT edge-cloud architecture and supports flexible implementations. This will bring enormous benefits by enabling the distribution of intelligence and computing - including artificial intelligence, machine learning and big data analytics - to achieve optimal solutions while satisfying given constraints.

The overall goal is to design and build a virtual, platform-independent meta-operating system for the IoT edge-cloud continuum. As a solution that can run on any infrastructure element within the IoT edge-cloud continuum - independent of the underlying hardware and operating systems - aerOS will:

• Provide common virtual services to enable virtual communication and efficient support for AI, as well as the creation of data-driven distributed applications;
• Expose an API that is available anywhere, anytime, flexible, resilient and platform-independent;
• Include a set of infrastructure services and features that address cybersecurity, reliability and manageability.
  

aerOS will:

• Use context awareness to distribute software task execution requests (applications);
• Support intelligence as close to events as possible;
• Support the execution of services using "abstract resources" (e.g. virtual machines, containers) connected by an intelligent network infrastructure;
• allocate abstract resources responsible for executing service chains;
• support scalable data autonomy.