Network of Networks Northbound Capability Exposure for Resource Allocation
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Solution Overview
Problem
Existing networks do not efficiently utilize resources and energy, and there is a need for improved digital participation across societies.
Innovation Solution
A network of networks (NoN) architecture that allows networks to expose their capabilities through northbound interfaces, enabling hosts to select the most suitable network based on their requirements, and dynamically adjust or modify their capabilities to match available network resources, with optional non-profit altruistic brokers facilitating resource sharing without intermediaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If networks operate independently with fixed capabilities, then network stability is maintained, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic capability exposure where networks can adjust their exposed capabilities based on current resource availability and demand. Networks transition from static fixed capabilities to dynamic adaptable capabilities, allowing resource optimization while maintaining operational stability through controlled adjustment mechanisms.
Solution Approach 2:
The system changes the parameter of network capability from fixed to variable by introducing capability exposure levels that can be adjusted. Networks can modify their exposed capability parameters according to resource status, enabling improved resource utilization while maintaining stability through regulated parameter transitions.
2Loss of energy
If hosts are assigned to specific networks statically, then network management simplicity is maintained, but energy consumption increases
Solution Approach 1:
The patent implements feedback mechanisms where hosts continuously monitor network capability exposures and adjust their network selections accordingly. This feedback loop enables energy optimization by directing traffic to most efficient networks while managing complexity through standardized feedback protocols and automated decision-making algorithms.
Solution Approach 2:
Hosts autonomously select and switch between networks based on exposed capability information without requiring complex centralized management. The self-service mechanism reduces energy consumption through intelligent autonomous decisions while keeping system complexity manageable through standardized interfaces and algorithms.
3Adaptability or versatility
If networks expose all inherent capabilities, then service coverage is maximized, but information overload occurs
Solution Approach 1:
The patent applies local quality by exposing different capability information at different levels of detail based on the specific needs of hosts and contexts. Instead of uniform full capability exposure, networks provide tailored capability information that matches host requirements, maximizing service coverage while maintaining information processing efficiency through differentiated information presentation.
Data Source
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AI summary
Method comprising reading, from each of plural networks, a first capability indication exposed by the respective network, wherein the first capability indication exposed by the respective network indicates a first capability the respective network is capable to provide to a first host if the first host attaches to the respective network; checking, for each of the plural networks, whether the first capability the respective network is capable to provide matches a required first capability of a first application of the first host; instructing that the first host is attached to a first one of the plural networks in response to checking that the first capability the first one of the plural networks is capable to provide matches the required first capability of the first application of the first host.