ENACT: Difference between revisions

Latest revision as of 09:17, 20 May 2026

ENACT

Adaptive Scheduling and Deployments of Data Intensive Workloads on Energy Efficient Edge to Cloud Continuum

Full project details (EU Research results portal): https://cordis.europa.eu/project/id/101135423

Project description:

The current proliferation of data-intensive applications strains existing infrastructure, leading to inefficiencies and suboptimal resource management. Traditional approaches struggle to cope with the dynamic nature of modern computing demands, especially in edge and cloud environments. This fragmentation hampers scalability, elasticity and portability, hindering the seamless operation of distributed applications. In this context, the EU-funded ENACT project will develop a cognitive computing continuum. It harnesses dynamic graph models to visualise real-time resource status, aiding AI models like graph neural networks and deep reinforcement learning agents in suggesting optimal deployment configurations. These advancements pave the way for intelligent decision-making engines, revolutionising infrastructure management. ENACT also pioneers an application programming model supporting self-determining applications for diverse resources.

EU Programme: Horizon Europe

EU Project

Project publications:

EU Project	Has Title	Has Category	Has Type	Has Year	Has DOI

@@ Line 1: / Line 1: @@
 ==[[EU Project short name::ENACT]]==
-===[[EU Project full name::European Network Against Crime and Terrorism]]===
+===[[EU Project full name::Adaptive Scheduling and Deployments of Data Intensive Workloads on Energy Efficient Edge to Cloud Continuum]]===
-'''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/101121152]]
+'''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/101135423]]
 === '''Project description:''' ===
-Security research and innovation has grown increasingly complex in recent years, posing a significant challenge for the EU. The utilisation of innovations emerging from EU-funded security research and innovation projects remains limited. In this context, the EU-funded ENACT project aims to establish a Knowledge Network for Security R&I, offering support to the fight against crime and terrorism (FCT) sector. Equipped with a unique blend of resources and expertise, it endeavours to streamline knowledge exchange, foster collaboration and bolster the uptake of innovative solutions in the FCT security domain, thereby reinforcing Europe’s security infrastructure. Overall, the project will facilitate knowledge exchange within the FCT community and foster collaboration among the FCT market actors.
+The current proliferation of data-intensive applications strains existing infrastructure, leading to inefficiencies and suboptimal resource management. Traditional approaches struggle to cope with the dynamic nature of modern computing demands, especially in edge and cloud environments. This fragmentation hampers scalability, elasticity and portability, hindering the seamless operation of distributed applications. In this context, the EU-funded ENACT project will develop a cognitive computing continuum. It harnesses dynamic graph models to visualise real-time resource status, aiding AI models like graph neural networks and deep reinforcement learning agents in suggesting optimal deployment configurations. These advancements pave the way for intelligent decision-making engines, revolutionising infrastructure management. ENACT also pioneers an application programming model supporting self-determining applications for diverse resources.
 '''EU Programme:'''