Artificial Intelligence (AI) Based Data Center Networking

Abstract

AI data center networking is transforming with a great pace as per the requirement of present day computation arena. In this given research paper, the subject of focus is on Artificial Intelligence and Data Center Networking and associated trends and issues. There are plans of using AI technologies within data centers in a bid to optimize the flow of networks in resource utilization and other parameters. This also entails use of AI based algorithms for real time traffic control, health check and workload allocation in order to have a solid and unshakeable network. Thus, the integration of the computing continuum also introduces difficult issues like the ability to scale the fabric efficiently, security, and the necessity of dedicated hardware accelerators to handle AI workloads optimally. These are complex problems that need novel approaches to the architecture of the networks, SDN architecture and AI focused analytics to have efficient and adaptive AI data center networking. Of particular importance to the field of AI data center networking is the edge computing and real-time data processing breakthroughs. This technology smartly integrates real-time analyses at the network edge at an organization’s data centers, and can decrease the amount of time needed to respond to applications that necessitate quick decision making such as Self-driving vehicles and industrial IoT. It is lest felt in this research work that AI can make a difference in changing the conventional Data center networking into a dynamic architecture to meet a modern digital world. Futuristic advancements of artificial intelligence and development for research will promote the complexity and cohesion between data centers and networking applications in the computational world.