Intelligent edge
of things



Intelligent edge
of things




Intelligent edge
of things




THE PROJECT
The evolution from local towards virtualised data storage, computation, network management, applications and workspaces has changed the way we use our digital services and brought some clear benefits over traditional systems, such as easy management, universal availability and decreased hardware requirements for devices. We are witnessing a change from separate person-to-person, person-to-machine and machine-to-machine (IoT) computing towards the Internet of Everything (IoE) computing.
IEoT
WHAT IS IEoT?

MAIN GOALS
MAIN GOALS
Ensure the functions
Ensure the operation of the most critical functions in any situation.
Sustainability
Promote sustainability and business efficiency by optimising resource, cost, and energy-efficiency on system level.
Implement use-cases
Implement use-cases that demonstrate the concepts developed by the project.
Develop technologies
Develop AI-enabled technologies on various levels of Edge IoT systems.
Develop analysis
Develop AI-based real-time analysis & decision-making deployed on the edge.
Confidential data saved
Find ways to keep sensitive data as local as possible.
Ensure the operation of the most critical functions in any situation.
Promote sustainability and business efficiency by optimising resource, cost, and energy-efficiency on system level.
Implement use-cases that demonstrate the concepts developed by the project.
Develop AI-enabled technologies on various levels of Edge IoT systems.
Develop AI-based real-time analysis & decision-making deployed on the edge.
Find ways to keep sensitive data as local as possible.

PROJECT STRUCTURE
IEoT
USE CASES
In order to demonstrate the concepts developed in the context of the project, the consortium selected and proposed a number of use-cases that will also be implemented by the partners.

PROJECT PARTNERS

TÜ Wien, Institute of Computer Technology
Gusshausstr. 27/ E384, 1040 Wien, Austria