ICTFicial Oy edited the deliverable D2.1, under titled “edge and cloud infrastructure resource and computational continuum orchestration system”. The deliverable reports some of the findings that will enable the implementation of a platform for offering a smooth and efficient life-cycle management of the computational and networking resources as well as the XR services hosted in the platform. These shall steer

both the development of the actual platform and also the XR services which are developed by the XR providers.

The resulting platform leverages and supports multiple network technologies and concepts such as Artificial Intelligence (AI) techniques for orchestration and XR microservices. The automation is another important aspect that is investigated in this report. A framework of cognitive resources-aware orchestration is introduced. This would offer a cloud-native framework where XR services can be deployed. This shows how

the resources are to be managed in order to continuously satisfy the desired KPIs of the running XR services. Also, this framework can leverage many other AI based algorithms for carrying out different tasks.

For instance, a smart scheduling mechanism is presented further below. Given the nature of the data generated in users’ locations, the protection and privacy of such data is of utmost importance. Therefore, a suitable security and privacy framework is also presented and discussed. Similar to the orchestration, the automation of the security aspects of CHARITY is fundamental and is an integral part of the orchestrator.

Thus, this report also covers how this security framework leverages concepts such as Zero-Trust and SECaaS

(Security as a Service).

The orchestration framework and the security framework need an efficient monitoring service that can continuously monitor the behaviour of the moving parts of the platform and the XR services. In this vein, a monitoring and resource usage prediction platform is introduced. This platform gathers all the important metrics and stores them to be used by intelligent algorithms, such as the prediction mechanisms, and that

is in order to draw insights from the data.
The last aspect of this report deals with the interface between the proposed platform and the XR providers and developers. The proposed application management framework allows the XR developers to define the blueprint for their XR services. The blueprints are used by the orchestration framework for the deployment and the life-cycle management of the XR services.

Last but not least, it shall be stated that the algorithms and mechanisms, presented in this deliverable, are envisioned to be incorporated in some components of the CHARITY architecture as introduced in the deliverable D1.3 edited by ICTFICIAL Oy [1], and also the research work published in [2].