Logical Computing Nodes for Dynamic Network Orchestration

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Solution Overview

Problem

The increasing complexity and demand on next-generation wireless communication networks, particularly with the integration of 5G and emerging 6G systems, pose challenges in managing network resources efficiently due to diverse devices and data bandwidth requirements, leading to complications in network infrastructure and orchestration.

Innovation Solution

A next-generation infrastructure-level orchestration framework is introduced, which enables dynamic management of logical computing nodes through function-dedicated computing and data plane functions, allowing for flexible configuration and reconfiguration of network resources to meet varying workload requirements, optimizing data processing and storage across distributed environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Power

If next generation wireless systems integrate more devices and increase data bandwidth for applications like video streaming, then service capability and data processing power are improved, but network infrastructure complexity increases

Engineering Contradiction:
Improvedata processing powerVSAvoidnetwork infrastructure complexity
Core Design Contradiction:
PowerVSDevice complexity

Solution Approach 1:

The patent segments network functions into separate logical computing nodes (LCNs) that can be independently deployed and managed. Each LCN handles specific functions such as routing, switching, or data processing, allowing the complex network infrastructure to be divided into manageable modules that can be optimized individually while working together to support high data processing power requirements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a hierarchical dimension to network management by separating control plane functions from data plane functions. This dimensional separation allows for independent optimization of control signaling and data processing, reducing the complexity burden on individual network elements while maintaining overall system power and capability.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If network infrastructure becomes more complicated to support diverse devices and applications, then adaptability to various services is improved, but ease of operation and management deteriorates

Engineering Contradiction:
Improveadaptability to diverse devicesVSAvoidease of network management
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent implements universal LCNs that can perform multiple functions depending on configuration. These LCNs are designed with standardized interfaces and protocols that allow them to adapt to different device types and service requirements without requiring custom infrastructure for each scenario, thereby maintaining ease of management while achieving high adaptability.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent enables dynamic parameter changes in LCNs through software configuration rather than hardware reconfiguration. By changing operational parameters such as processing capacity, data handling priorities, and connection protocols, the network can adapt to diverse devices and applications while maintaining the same physical infrastructure, thus preserving ease of operation.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If more network elements like routers, switches, bridges, and firewalls are deployed to handle increased device diversity, then network capability is improved, but device complexity and difficulty of detecting and measuring increase

Engineering Contradiction:
Improvenetwork capabilityVSAvoiddifficulty of network monitoring
Core Design Contradiction:
ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent merges multiple network functions (routing, switching, data processing) into unified LCNs that can be deployed as single points of control rather than separate distributed elements. This consolidation reduces the number of individual monitoring targets while maintaining comprehensive network capability, thereby reducing the difficulty of detecting and measuring network performance across the entire system.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20240236649A9Data-centric computing and communication infrastructure
Publication Date: 2024.07.11 INTEL CORP
  • US20240236649A9 patent drawing
  • US20240236649A9 patent drawing
  • US20240236649A9 patent drawing

AI summary

An apparatus and system are described to provide functions and procedures in a data-centric infrastructure (DCI). The logical architecture includes an infrastructure orchestration function and controller. Interactions between the infrastructure orchestration function and controller include a function request to form or release a logical computing node, or modify the logical computing node through addition or removal of at least one of a function-dedicated computing (FDC) function, a data plane (DP) function, or a function-dedicated network (FDN) function to the logical computing node. The controller configures the FDC/DP/FDN functions and sends a response indicating completion of operations performed by the controller that are related to the function request.