AI-Integrated Content Adaptive Data Center Routing for Cloud Computing Environments
Legal Citation
Summary of the Inventive Concept
This inventive concept integrates AI, IoT, blockchain, and other technologies with content adaptive data center routing to create a more efficient, scalable, and secure cloud computing environment, addressing limitations of traditional data center routing systems.
Background and Problem Solved
Traditional data center routing systems struggle to optimize routing decisions in real-time, leading to suboptimal performance, latency, and security issues. The original patent addresses some of these limitations, but the new inventive concept takes a significant leap forward by incorporating AI, IoT, blockchain, and other technologies to create a more powerful and adaptive system.
Detailed Description of the Inventive Concept
The new inventive concept integrates an AI-powered network performance predictor with a data center routing module to analyze network performance metrics and optimize routing decisions in real-time. Additionally, it incorporates IoT-based network performance monitoring, blockchain-based data center allocation, and AI-powered content adaptation to create a highly adaptive and efficient cloud computing environment. The system dynamically adjusts routing decisions based on real-time analysis of network performance metrics, ensuring optimal performance, security, and scalability.
Novelty and Inventive Step
The new inventive concept's integration of AI, IoT, blockchain, and other technologies with content adaptive data center routing is a novel and non-obvious advancement over the original patent. The use of AI-powered prediction, IoT-based monitoring, and blockchain-based allocation creates a synergistic combination that significantly improves the efficiency, scalability, and security of cloud computing environments.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include integrating with other AI technologies, such as natural language processing or computer vision, to further enhance routing decisions. Additionally, the system could be adapted for use in edge computing, fog computing, or other distributed computing environments.
Potential Commercial Applications and Market
The new inventive concept has significant commercial potential in the cloud computing market, particularly in industries such as gaming, virtual reality, and remote workstation. It could also be applied to other areas, such as content delivery networks, edge computing, and IoT-based systems.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A63 | A63F13/358 |
| A | A63 | A63F13/352 |
| H | H04 | H04L47/18 |
| H | H04 | H04L47/2433 |
| H | H04 | H04L67/14 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Cloud computing, network routing, and performance optimization technologies, with expertise in distributed computing systems, network performance testing, and adaptive routing strategies
Person of Ordinary Skill (PHOSITA) Profile
A skilled professional with advanced degrees in computer science or electrical engineering, experienced in cloud infrastructure design, network performance analysis, machine learning applications in distributed systems, and understanding of routing optimization techniques
Obviousness Rationale
A PHOSITA would recognize that integrating AI, IoT, and blockchain technologies into the existing content adaptive routing framework represents a predictable evolution of network performance optimization techniques. The source patent's foundation of network performance testing and adaptive routing provides a clear technical pathway for incorporating advanced computational intelligence and monitoring technologies. The proposed variations represent logical extensions of existing routing methodologies using well-established technological integration strategies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,872 |
|---|---|
| Title | Content adaptive data center routing and forwarding in cloud computing environments |
| Assignee(s) | NVIDIA CORPORATION |