Welcome to EDGELESS

Cognitive edge-cloud with serverless computing

EDGELESS project aims to leverage the serverless concept in all the layers in the edge-cloud continuum to fully benefit from diverse and decentralised computational resources available on-demand close to where data are produced or consumed. In particular, we aim at realising an efficient and transparent horizontal pooling of the resources on edge nodes with constrained capabilities or specialised hardware, smoothly integrated with cloud resources, which is a giant leap forward compared to state-of-the-art vertical offloading solutions where the edge is a mere supplement of the cloud.

EDGELESS Objectives

Enable efficient operation of data-intensive applications with a dynamic behaviour for the realisation of a cognitive framework spanning across the edge-cloud continuum, considering resource-constrained and heterogeneous edge computing resources under fast changing conditions

Develop cognitive tools and techniques for an efficient use of resources in networks of constrained and specialised edge nodes, taking into consideration computation needs and performance, always ensuring the most efficient implementation of function-oriented execution

Enable trusted access to lambda functions executed on edge nodes, including devices with limited computational capabilities, to enable a decentralised exchange of trusted data and computations, leveraging certified hardware security

Define interfaces and models to deploy edge applications in a continuum multi-provider environment according to specific functional and non-functional requirements, while ensuring the highest level of QoS

Evaluate the solution in a wide range of realistic use cases, with heterogeneous requirements

Enable efficient operation of data-intensive applications with a dynamic behaviour for the realisation of a cognitive framework spanning across the edge-cloud continuum, considering resource-constrained and heterogeneous edge computing resources under fast changing conditions

Develop cognitive tools and techniques for an efficient use of resources in networks of constrained and specialised edge nodes, taking into consideration computation needs and performance, always ensuring the most efficient implementation of function-oriented execution

Enable trusted access to lambda functions executed on edge nodes, including devices with limited computational capabilities, to enable a decentralised exchange of trusted data and computations, leveraging certified hardware security

Define interfaces and models to deploy edge applications in a continuum multi-provider environment according to specific functional and non-functional requirements, while ensuring the highest level of QoS

Evaluate the solution in a wide range of realistic use cases, with heterogeneous requirements

Consortium

Scroll to Top