HYPER-AI
Hyper-Distributed Artificial Intelligence Platform for Network Resources Automation and Management Towards More Efficient Data Processing Applications
Informazioni Generali
- Coordinatore:
- CERTH - CENTRE FOR RESEARCH AND TECHNOLOGY HELLAS (Grecia)
- Responsabile ENEA:
- RAO MARCO - NUC-TECFIS-ACP (FRASCATI)
- Ruolo ENEA:
- PARTNER
- Sito WEB:
- https://hyper-ai-project.eu/
Descrizione e Attività
Descrizione Generale
In HYPER-AI, we work with smart virtual computing entities (nodes) that come from a variety of infrastructures that span all three
of the so-called computing continuum's layers: the Cloud, the Edge, and IoT. It focuses on intensive data-processing applications that
present the potential to improve their footprint when hyper-distributed in an optimized manner. In order to give targeted applications
access to computational, storage, or network services, HYPER-AI implements the idea of computing swarms as autonomous, selforganized,
and opportunistic networks of smart nodes. These networks may offer a diverse and heterogeneous set of resources processing,
storage, data, communication) at all levels and have the ability to dynamically connect, interact, and cooperate. HYPER-AI proposes
semantic representation concepts to enable heterogeneous resources’ abstraction in a homogeneous way, under a common annotation
(computing node), across the whole range of network infrastructures. The main orchestration and control concept of HYPER-AI is
inspired by autonomic systems (self-CHOP principles) which employ swarmed computing schemes. Its objective is to make smart multinode
(swarm) deployment scenario design, execution, and monitoring easier, through appropriate AIs for self-configuration (nodes
assigned resources), self-healing (swarmed nodes lifecycle), self-optimizing (exploiting built-in situation awareness mechanisms) and
self-protecting (intrusion detection, privacy, security, encryption and identity management) at application runtime. In order to support
dynamic and data-driven application workflows, HYPER-AI suggests the flexible integration of resources at the edge, the core cloud, and
along the big data processing and communication channel, enabling their energy, time and cost-efficient execution. Finally, distributed
ledger concepts for security, privacy, and encryption as well as AI-based intrusion detection are also considered
Attività svolta da ENEA
ENEA partecipa al progetto con lo sviluppo di uno “Use Case” legato al reattore di ricerca TRIGA operato da NUC-IRAD e con tecniche di IA sviluppate da NUC-TECFIS-ACP
l’ENEA partecipa attivamente a sette WPs:
WP1 Project Management Phase 1; WP2 Project Management Phase 2; WP3 State Requirement Definition; WP7 Prototyping, Verticals Preparation and IDE; WP8 Applications, Verticals and Evaluation; WP9 Dissemination, Communication and Exploitation Phase1; WP10 Dissemination, Communication and Exploitation Phase1
Programmi Europei
- Programma:
- HORIZON EUROPE (2021-2027) → Cluster 4 - Digital, Industry and Space (RIA - Research and Innovation Action)
Dati Finanziari (in euro)
Costo Eleggibile
- Progetto:
- 4.628.975,00
- ENEA:
- 228.875,00
Contributo
- Al progetto:
- 4.628.975,00
- A ENEA:
- 228.875,00
Durata del Progetto
- Anno di stipula e Durata:
- 2024 - 36 mesi
- Periodo:
- 01-04-2024 → 31-03-2027