Network Orchestration via Trust Manager Mediation
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Solution Overview
Problem
Current mobile network ecosystems face challenges in efficiently managing and orchestrating network resources and services across multiple stakeholders, particularly in integrating machine learning models and compositions to meet diverse requirements and trust relationships.
Innovation Solution
A multi-stakeholder concept for a network ecosystem where apparatuses configured to manage network resources orchestrate requirements across stakeholders, including sending requests for network intents, resources, services, machine learning models, and trust relationships, to ensure seamless collaboration and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a multi-stakeholder network ecosystem is established to share network resources and services, then resource utilization efficiency and service diversity are improved, but system complexity and coordination overhead increase
Solution Approach 1:
The patent introduces a trust manager as an intermediary component that mediates interactions between different stakeholders in the network ecosystem. The trust manager evaluates trust relationships, verifies credentials, and facilitates secure resource sharing between stakeholders, thereby enabling efficient resource utilization while managing system complexity through centralized trust coordination.
2Adaptability or versatility
If machine learning models are integrated across multiple stakeholders to meet diverse requirements, then service capability and adaptability are improved, but trust verification and security management become more difficult
Solution Approach 1:
The patent implements preliminary trust verification by requiring stakeholders to pre-register credentials and obtain trust certificates before accessing shared machine learning models or network resources. The trust manager performs advance validation of stakeholder identities and permissions, ensuring that only authenticated entities can participate in the multi-stakeholder ecosystem, thereby maintaining security while enabling diverse service capabilities.
3Productivity
If cross-stakeholder orchestration is implemented to fulfill network requirements, then service fulfillment capability is improved, but communication overhead and coordination time increase
Solution Approach 1:
The patent segments the orchestration process into distinct functional modules including requirement reception, trust verification, resource allocation, and service deployment. Each module operates independently with well-defined interfaces, allowing parallel processing of multiple stakeholder requests and reducing coordination time through modular architecture that enables independent validation and execution of orchestration tasks.
Data Source
AI summary
A first apparatus and a second apparatus (128) that are configured to manage or orchestrate network resources, or network services, or a machine learning model, or a composition of a machine learning model for a first stakeholder and a second stakeholder respectively, and first method comprising receiving, at the first apparatus (120), a requirement regarding a network intent, or for a network resource, or a network service, or a machine learning model, or a composition of a machine learning model, determining, at the first apparatus (120), a message regarding the requirement, sending the message to the second apparatus (128), and a second method comprising receiving, from the first apparatus (120) a first message regarding a requirement, and sending a second message regarding the requirement, to the first apparatus (120) or a first message regarding a network intent, and sending a second message regarding the network intent to the first apparatus (120).