📋 Tender Overview
Hyper-Distributed Artificial Intelligence Platform For Network Resources Automation And Management Towards More Efficient Data Processing Applications
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, Self-Organized, 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 Multi-Node (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.
Funded Under
Digital, Industry And Space
Total Cost
€ 0,00
Eu Contribution
€ 4 628 975,00
Coordinated By
Ethniko Kentro Erevnas Kai Technologikis Anaptyxis
Greece
Start Date
1 April 2024
End Date
31 March 2027
Objective
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, self-organized, and opportunistic networks of smart nodes. These networks may offer a diverse and heterogeneous set of re
