Enhanced Content Adaptive Data Center Routing and Forwarding for Cloud Computing Environments

An optimized data center routing and forwarding system that dynamically adjusts to user device location, application-specific requirements, and real-time network conditions to minimize latency, packet loss, and jitter, ensuring a high-quality user experience in cloud computing environments.

The original patent addressed the need for content adaptive data center routing and forwarding in cloud computing environments, particularly for high-performance network streaming applications. However, the patent's approach was limited by its reliance on static network tests and fixed data center allocation. The new inventive concept solves this problem by introducing dynamic network performance analysis, real-time routing optimization, and adaptive resource allocation to ensure optimal data center selection and routing for each application instance.

The enhanced system comprises a network performance analyzer, a resource allocator, and a routing optimizer. The network performance analyzer continuously monitors network characteristics between the user device and multiple data centers, while the resource allocator dynamically adjusts resource allocation to each data center based on the measured network characteristics and application-specific requirements. The routing optimizer selects the optimal data center for each application instance based on the streaming profile and real-time network conditions. This allows for optimized data center routing and forwarding, minimizing latency, packet loss, and jitter.

The new claims introduce novel elements, including dynamic network performance analysis, real-time routing optimization, and adaptive resource allocation, which were not present in the original patent. These innovations enable the system to respond to changing network conditions and application requirements, providing a significant improvement over the original approach.

Alternative embodiments of the inventive concept could include integrating the system with artificial intelligence or machine learning algorithms to predict user behavior and optimize data center selection accordingly. Another variation could involve using edge computing or fog computing to further reduce latency and improve performance.

The enhanced data center routing and forwarding system has significant commercial potential in the cloud gaming, cloud virtual reality, and remote workstation markets, where high-quality user experience is critical. The system could also be applied to other cloud-based applications requiring low latency and high performance.