HYPER-AI

HYPER-AI aim to optimise the management and automation of network and cloud resources for data-intensive applications. It aims to provide a platform to enable hyper-distributed execution by integrating smart virtual computing entities across the Cloud, Edge, and IoT, forming self-organised, autonomous swarms that dynamically adapt to changing application and network demands. HYPER-AI’s goals are broken into the objectives. First, the project aims at creating an open architecture to enable seamless collaboration between swarm nodes, promoting distributed AI execution and enhanced collective intelligence at the edge. It further aims to support dynamic, cognitive decision-making across the lifecycle of applications, using continuous inference mechanisms that allow entities to optimise performance based on their internal states and surrounding contexts. Another key focus is the development of autonomous Smart Nodes, which can self-coordinate and rapidly adapt during both the design and runtime of applications, leveraging meta-resources and decentralised mechanisms for flexibility and efficiency.

In terms of security and privacy, HYPER-AI aims to deliver a robust and secure ecosystem   with end-to-end encryption, AI-driven intrusion detection, and advanced identity management tools to ensure data protection across the computing continuum. In terms of standardisation and certification, the project is committed to promoting standardisation, certification, and interoperability of outcomes, with contribution to adopted standardisation activities considered a main KPI.

Reason for applying to HSbooster.eu services

The project is committed to contribute to standardisation and certification activities related to the scope of the HYPER-AI platform. The project would like to consult the HSbooster on most relevant and impactful standardisation activities relevant to the project scope. Since the project topic lies at the intersection, of cloud, networking, security, IoT, and AI, it would be very useful to the project to identify in which of these directions the efforts should be directed. Engaging in relevant standardisation activities and connecting to standardisation experts are its goals.

The main standardisation topics identified by the partners as most relevant to the technical tasks are:

• Cloud management, cloud services: including but not limited to any standards relevant to Kubernetes ecosystem (Custom Resources Definition, OpenAPI/Swagger, Open Container Initiative, Container Network Interface, YAML/JSON), ETSI GS MEC, and ETSI NFV.
• Communication, data exchange, and IoT: Including but not limited to OASIS (eTOSCA) and W3C (RDF/OWL), 3GPP TS 38.40, ISO/IEC 30141 on IoT architecture, ISO/IEC TS 30149: on IoT  trustworthiness 
• Cybersecurity in telecommunication: ISO/IEC 20922 MQTT, W3C DID: Decentralised identity managemen, IETF RFC 6749 OAuth 2.0, IETF RFC 8446 TLS 1.3: Secure communication for data transmission