Synergistic Data Center Resource Allocation and Routing

Publication ID: 24-11857872_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Data Center Resource Allocation and Routing,” Published Technical Disclosure No. 24-11857872_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857872_0003_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,872.

Summary of the Inventive Concept

A novel approach integrating AI, IoT, blockchain, and new materials to optimize data center resource allocation and routing, ensuring secure, efficient, and adaptive cloud computing environments.

Background and Problem Solved

The original patent addressed the need for content adaptive data center routing and forwarding in cloud computing environments, focusing on network performance parameters. However, it lacked the integration of distinct technologies to create a more powerful system. This new inventive concept solves the problem by synergistically combining AI, IoT, blockchain, and new materials to optimize data center resource allocation and routing.

Detailed Description of the Inventive Concept

The new inventive concept comprises multiple modules: a neural network-based routing module, an AI-powered network performance prediction module, a blockchain-based data center selection module, an IoT device management module, and a new material-based cooling system. These modules work in tandem to dynamically select and allocate data center resources, predict and adapt to changing network conditions, ensure secure and transparent data center selection decisions, and efficiently manage IoT devices and heat in data centers.

Novelty and Inventive Step

The new claims introduce the novel combination of AI, IoT, blockchain, and new materials to optimize data center resource allocation and routing, which is not obvious from the original patent. The inventive step lies in the synergistic integration of these distinct technologies to create a more powerful and adaptive system.

Alternative Embodiments and Variations

Alternative embodiments could include using different AI algorithms, integrating additional IoT devices, or utilizing alternative blockchain protocols. Variations could involve applying the inventive concept to edge computing, fog computing, or other distributed computing environments.

Potential Commercial Applications and Market

The 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 fields, such as finance, healthcare, and education, where secure, efficient, and adaptive data center resource allocation is crucial.

CPC Classifications

SectionClassGroup
A A63 A63F13/358
A A63 A63F13/352
H H04 H04L47/18
H H04 H04L47/2433
H H04 H04L67/14

Field of Art

Cloud computing, network routing, and distributed computing systems, with expertise in performance optimization, network testing, and adaptive resource allocation across data center environments

Person of Ordinary Skill (PHOSITA) Profile

A skilled professional with advanced degree in computer science or electrical engineering, specialized in cloud infrastructure, network performance engineering, and distributed systems design, with 3-5 years professional experience in data center technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of AI, blockchain, and IoT technologies represents predictable extensions of the source patent's core teachings about adaptive network routing and performance testing. The fundamental problem of optimizing data center resource allocation remains consistent, with the PTD merely introducing additional technological mechanisms to achieve similar performance goals. The modular approach and network performance optimization strategies align closely with the source patent's existing framework for dynamic data center selection.

Obvious Combinations & Variations

Source Patent Element
Network performance testing metrics including jitter, packet loss, bandwidth, and latency tests
PTD Variation
AI-powered network performance prediction module that dynamically evaluates and predicts network condition variations
Obviousness Reasoning
Predictable application of machine learning techniques to existing network performance testing methodologies, representing an obvious technological progression
Source Patent Element
Dynamic data center selection based on network connection metrics
PTD Variation
Blockchain-based data center selection module ensuring secure and transparent routing decisions
Obviousness Reasoning
Known technique of introducing additional verification and security layers to existing routing mechanisms, representing an incremental technological improvement
Source Patent Element
Cloud gaming environment with adaptive routing between data centers
PTD Variation
IoT device management module integrating distributed computing resources with application-specific requirements
Obviousness Reasoning
Logical extension of existing distributed computing paradigms, applying established routing principles to emerging device ecosystems
Source Patent Element
Application session routing based on network performance profiles
PTD Variation
Neural network-based routing module dynamically selecting data centers using real-time performance metrics
Obviousness Reasoning
Obvious implementation of advanced machine learning techniques to enhance existing routing decision frameworks
Source Patent Element
Network connection performance optimization
PTD Variation
New material-based cooling system for managing data center thermal performance
Obviousness Reasoning
Predictable engineering solution addressing known infrastructure challenges through materials science innovations
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857872 and the published technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious, as they represent predictable technological extensions employing known techniques to solve substantially similar technical challenges in cloud computing and network routing environments.

Original Patent Information

Patent NumberUS 11,857,872
TitleContent adaptive data center routing and forwarding in cloud computing environments
Assignee(s)NVIDIA CORPORATION