An innovative computing infrastructure model was presented at the M.V. Lomonosov Moscow State University Interdisciplinary Scientific and Educational School "Brain, Cognitive Systems, Artificial Intelligence." The system created by scientists uses machine learning technologies and multi-agent systems to efficiently distribute the load between different data centers (DPCs).
The solution opens new horizons for creating global distributed computing systems. The architecture, called Network Powered by Computing (NPC), combines computing resources from around the world into a single ecosystem.
The architecture of the computing infrastructure proposed by Moscow State University mathematicians opens up new opportunities for the development of cloud computing, high-performance computing installations, telecommunications and Internet services.
Machine learning technologies and multi-agent systems, which underlie this infrastructure, make it possible to predict the execution time of tasks on various computers, which helps to optimally distribute data flows, choosing the most efficient transmission channels. The new architecture provides high performance, fault tolerance and computing security.
The system provides users with the ability to receive computing power on demand, anytime, anywhere. This creates global connectivity and resource availability, allowing computing power to be used without being tied to specific data centers.
Thus, the new model from Moscow State University can significantly improve efficiency in areas such as artificial intelligence, big data analysis and augmented reality systems.
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Нейросети оживили весну 1945 года