Project partner: Indian Institute of Technology (IIT) Hyderabad

Started: 2021. 03. 01.

Coordinator: László Toka

Members: 2 seniors, 2 PhD student, 4 undergraduates

Abstract: Fog computing is an emerging concept extending traditional cloud computing by deploying compute resources closer to end devices. This approach, closely integrated with carrier-networks, enables several future services, such as coordination of autonomous vehicles and augmented reality (AR) applications. Mission critical applications must complete tasks within a predefined deadline and require the resources and mechanisms provided by fog computing. In this project, we propose and implement a new fog computing based architecture to enable vehicular applications. The envisioned architecture encompasses novel methods and procedures to be developed that can continuously provide the application with sufficient computing and network capacity to meet strict latency, bandwidth, and computing requirements. The platform logically consists of two layers: i) resource orchestration and network slice management; ii) data management and artificial intelligence. The first group includes new algorithms and operating mechanisms that guarantee optimal resource utilization while meeting application-defined requirements. The second one includes features enabling real-time processing of large amounts of data in a geographically distributed environment, and artificial intelligence-based platform services essential for autonomous driving.

Acknowledgement: This work is supported by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund through project 2019-2.1.13-TET_IN-2020-00021 under the 2019-2.1.13-TET-IN funding scheme.

THE AMOUNT OF AID:
70 MILLION HUF