Intelligent Adaptive Data Center Routing and Forwarding for Cloud Computing Environments

A next-generation data center routing and forwarding system that leverages real-time network performance prediction, machine learning, and autonomous agents to optimize application performance and resource allocation in cloud computing environments.

The original patent addressed the challenge of adaptive data center routing and forwarding in cloud computing environments, but its limitations included reliance on static network tests and manual resource allocation. The new inventive concept overcomes these limitations by introducing predictive analytics, real-time monitoring, and autonomous decision-making to ensure optimal application performance and resource utilization.

The system comprises a network performance predictor module that forecasts network performance parameters in real-time, a resource allocation optimizer that dynamically allocates resources across multiple data centers based on the predicted network performance parameters, and a machine learning module that analyzes historical network performance data to improve prediction accuracy. The system also includes a centralized network performance management system that monitors and optimizes network performance across the distributed data center network. Autonomous agents are deployed across multiple data centers, dynamically adjusting routing decisions based on real-time network performance metrics and communicating with other autonomous agents to optimize overall network performance.

The new inventive concept's novelty lies in its integration of predictive analytics, machine learning, and autonomous agents to enable real-time optimization of data center routing and forwarding. The inventive step is the introduction of a distributed, self-organizing system that can adapt to changing network conditions and application requirements, providing a significant improvement over the original patent's static approach.

Alternative embodiments of the inventive concept could include the use of edge computing, 5G networks, or hybrid cloud environments. Variations could include the integration of additional data sources, such as IoT devices or social media, to improve network performance prediction and optimization.

The inventive concept has significant commercial potential in the cloud computing market, particularly in industries such as cloud gaming, virtual reality, and remote workstation. It could also be applied to other high-performance network streaming applications, such as video streaming and online education.