About the project
The evolution from local to virtual data storage, computation, network management, applications, and workspaces has changed the way we use our digital services, which has 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 (IEoT) computing towards the Internet of Everything (IoE) computing. The foreseen next step in the evolution of wireless communication technologies is the evolution towards 6th generation networks. This transition will boost network sharing in cities and indoor spaces. Furthermore, this will drive the local computing paradigm. In today’s cloud systems, all data processing and decision-making logic is handled at data centers. Certainly, this is not optimal from the viewpoints of performance, efficiency, reliability, security, or privacy.
Edge computing is a key technology to unleash the full potential of 5G technologies since it enables deploying computational tasks near the end-devices. Therefore, it opens novel business opportunities around real-time cloud services for wirelessly connected mobile and IEoT nodes. It provides computational capacity near the source of the data, allowing various data pre-processing, refinement, and analysis functions. That would reduce the amount of data that needs to be sent to cloud servers. Hence, reducing the load inflicted on core networks and data centers.
This project will take the concept of edge computing to a new level by introducing a third, local, tier in addition to the data center and MEC tiers. We will utilize artificial intelligence to unleash the full potential of each Edge architectural tier to meet different application requirements. This project focuses on developing an intelligent three-tier Edge IEoT architecture for enabling novel services around business areas such as smart transportation, Industry 4.0, and entertainment.