The main goal of the AI-RMDT project is to develop an innovative big data transport solution based on the RMDT data transfer protocol developed in the FILA lab, which is capable of overcoming the challenges of data transfer at speeds of more than 40 Gbps using artificial intelligence algorithms.
The plan is 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. This combination is designed to improve the efficiency and reliability of data transmission in different network environments.
Scientific tasks:
- Scientific analysis and further development of the RMDT protocol for high-speed data transmission
- Research into AI-based methods for optimizing data flow and stability
- Investigation of new congestion control approaches for big data transports
- Development and analysis of secure transmission models for IP-based networks
- Theoretical and experimental investigation of multicast and synchronization algorithms
- Analysis of machine learning and multi-parameter optimization to improve the performance of transport protocols
Acknowledgments
This project is funded by the European Regional Development Fund (ERDF) and the state of Saxony-Anhalt as part of the Saxony-Anhalt SCIENCE - Research and Innovation (ERDF) 2021-2027 program (funding reference: ZS/2023/12/182323).
