Intelligent Edge of Things

Project IEoT
Project Key Information

Project Status: set-up

Start Date: March 2020

End Date: February 2023

Budget (total): 15847.3 K€

Effort:  155.33 PY

Project-ID: C2019/2-10

Project Coordinator

Name: Erkki Harjula

Company: University of Oulu

Country: Finland

E-mail: erkki.harjula(Replace this parenthesis with the @ sign)oulu.fi

Project Consortium

University of Oulu, Finland

Tieto, Finland

Vaisala, Finland

Valossa Labs Oy, Finland

Oy L M Ericsson Ab Finland, Finland

Invenco Oy, Finland

RISE SICS AB, Sweden

Bombardier Transportation Sweden AB, Sweden

Sandvik, Sweden

Imagimob, Sweden

Ekkono, Sweden

GOHM Electronics, Turkey

Ata Technology Platforms, Turkey

Vestel Electronics, Turkey

PDMF&C, Portugal

Instituto de Telecomunicações, Portugal

Beyond Vision, Portugal

Technical University of Vienna, Austria

AVL List GmbH, Austria

Electronic Media Services Ltd., United Kingdom

Management, Data Processing and Consultancy Ltd., United Kingdom

Loughborough University, United Kingdom

National Physical Laboratory, United Kingdom

NCC Group Security Services Ltd., United Kingdom

Abstract

The evolution from local towards virtualised data storage, computation, network management, applications and workspaces in the form of Everything as a Service and Cloud Computing 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 the end-user devices. In the big picture, 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, encompassing intelligent connection of people, process, data and things, where machines and humans communicate seamlessly using converged services and applications.The foreseen next step in the evolution of wireless communication technologies is the evolution towards the next, 6th, generation of wireless technologies. This transition will boost network sharing in cities and indoor spaces, and – especially – drive the local computing paradigm. In today’s cloud systems, all data processing and decision-making logic is handled at data centers, which is not optimal from the viewpoint of performance, efficiency and reliability. Furthermore, since the digital world penetrates deeper and deeper in our everyday life, a particular concern is related to preserving the privacy and security of networked systems.

Edge computing is a key technology to unleash the full potential of 5G and beyond wireless technologies, since it enables deploying computational tasks near the end-devices and therefore opens novel business opportunities around real-time cloud services for wirelessly connected mobile and IoT nodes. It provides computational capacity near the source of the data, allowing various data pre-processing, refining and analysis functions to reduce the amount of data to be sent to cloud servers and therefore reducing the load inflicted to core networks and data centers. This is a powerful measure for promoting sustainability in technological evolution. Furthermore, it helps limiting data propagation towards public networks and helps service providers to provide guarantees for customers to keep their personal or business-confidential data within set boundaries.

To maximise the benefits of edge computing, this project will take the concept of edge computing to a new level by introducing the third, local edge, tier in addition to the data center and MEC tiers. In complex multi-layered systems such as edge computing, the role of technologies that accommodate realizing, orchestrating and maintaining complex and dynamic service ecosystems and their data management is emphasized. Therefore, in this project we will integrate Artificial intelligence (AI) into edge computing frameworks to build intelligent edge for dynamic, adaptive edge maintenance and management and utilise the full potential of each tier of the IoT Edge architecture to meet different application requirements. This project focuses on developing an intelligent three-tier Edge IoT architecture for enabling novel services around business areas such as smart transportation, smart manufacturing and smart homes. The outcome will facilitate the generation of new business opportunities for companies that will be able to utilise a converged ecosystem based on the three-tier Edge IoT architecture to offer their clients new products and services.

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