Enhanced Content Adaptive Data Center Routing and Forwarding

An optimized data center routing and forwarding system that leverages machine learning, real-time network performance metrics, and adaptive resource allocation to minimize latency, jitter, packet loss, and bandwidth constraints in cloud computing environments.

The original patent addresses the issue of optimizing data center routing and forwarding in cloud computing environments, but it has limitations in terms of scalability, adaptability, and resource utilization. The new inventive concept builds upon the original patent by introducing advanced techniques for predicting network performance parameters, dynamically allocating resources, and optimizing application quality of service (QoS) and session yield.

The enhanced system comprises a network performance monitoring module, a machine learning module, a routing policy module, and a resource allocation module. The network performance monitoring module measures network characteristics from the perspective of a user device towards multiple data centers. The machine learning module predicts network performance parameters based on historical data and real-time measurements. The routing policy module dynamically updates routing policies based on the predicted network performance parameters to minimize latency, jitter, packet loss, and bandwidth constraints. The resource allocation module dynamically allocates resources among the multiple data centers based on the measured network characteristics and predicted network performance parameters to optimize application performance and minimize resource waste.

The new claims introduce the use of machine learning for predicting network performance parameters, real-time network performance metrics for adaptive resource allocation, and dynamic routing policy updates to optimize application QoS and session yield. These advancements provide a significant improvement over the original patent, enabling more efficient and scalable data center routing and forwarding in cloud computing environments.

Alternative embodiments may include the use of different machine learning algorithms, additional network performance metrics, or integration with other cloud computing services. Variations may include adapting the system for specific industries, such as cloud gaming or remote workstation environments.

The enhanced data center routing and forwarding system has significant commercial potential in the cloud computing market, particularly in industries that rely heavily on low-latency and high-bandwidth network connections, such as cloud gaming, remote workstation, and cloud virtual reality (VR). The system can be integrated with existing cloud infrastructure providers, offering a competitive advantage in terms of application performance and resource utilization.