Prof. Dr. Eduard Siemens
Research project
AI-RMDT - AI-supported Reliable Multi-Destination Protocol
Title: AI-RMDT: AI-supported Reliable Multi-Destination Protocol
Description: The main objective of the project is to develop an innovative big data transport solution based on the RMDT data transmission protocol developed in the FILA lab, which will be able to overcome the challenges of data transmission at speeds of more
than 40 Gbps with the help of artificial intelligence algorithms. It is planned to develop novel and optimized methods for securing data over unsecured IP connections, including congestion control, application layer multicast and file synchronization. The planned system will integrate state-of-the-art advances in machine learning, multi-parameter optimization and synchronization algorithms. These combinations should improve the efficiency and reliability of data transmission in different network environments.
Funding period: 01.03.2024 - 31.12.2027
Funding body: European Union & State of Saxony-Anhalt
Funding program: EFRE
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