Hierarchical Computing Network Node Grading
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Solution Overview
Problem
Current cloud computing architectures face reliability, data safety, and latency issues due to centralization, with a lack of effective grading and incentives for participant devices in decentralized computing networks, leading to inefficient data management and storage solutions.
Innovation Solution
A hierarchical computing network architecture that grades and assigns roles to participant devices, utilizing existing personal computing devices as control or process nodes, ensuring data redundancy and reliability through encryption and geographic awareness, allowing users to select nodes based on service capabilities and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud services use centralized data centers, then service management and control are simplified, but reliability and data safety deteriorate due to single point of failure
Solution Approach 1:
The patent segments the centralized cloud service into a hierarchical structure with root nodes, control nodes, and process nodes distributed across multiple geographic locations. This segmentation allows service management to be distributed rather than centralized, eliminating single points of failure while maintaining operational simplicity through automated node enrollment and grading mechanisms.
Solution Approach 2:
The patent introduces a hierarchical dimension to the cloud architecture, organizing nodes into multiple levels (root, control, process) and geographic regions. This dimensional organization enables both simplified management through hierarchical control and improved reliability through geographic distribution and redundancy.
2Loss of energy
If cloud services centralize computing hardware and data, then operation and ownership costs are reduced, but data safety and regional inequality worsen
Solution Approach 1:
The patent implements local quality by allowing control nodes to be selected based on geographic proximity to users and their service capabilities. This enables data processing to occur locally rather than being centralized, improving data safety through distribution while maintaining cost efficiency by utilizing existing personal computing devices as nodes.
Solution Approach 2:
The patent enables self-service through automated node enrollment, grading, and selection mechanisms. Personal computing devices automatically enroll in the network, are graded based on their service capabilities, and are selected as control nodes without requiring manual intervention, reducing operation costs while distributing data safety responsibilities.
3Adaptability or versatility
If cloud services use centralized architecture, then infrastructure sharing is maximized, but latency increases for remote users
Solution Approach 1:
The patent applies local quality by selecting control nodes based on their geographic location relative to users. Users are served by control nodes in their own geographic region rather than remote centralized data centers, reducing latency while still sharing infrastructure across the distributed network.
Solution Approach 2:
The patent adds a geographic dimension to infrastructure sharing, organizing nodes into regional clusters. This allows users to access nearby control nodes for low-latency service while the broader hierarchical structure enables infrastructure sharing across regions, resolving the contradiction between centralization efficiency and distributed speed.
4Productivity
If decentralized computing networks use existing personal devices, then device utilization increases, but lack of grading and incentives reduces service reliability
Solution Approach 1:
The patent implements feedback through a grading mechanism that evaluates control nodes based on their service capabilities and performance. This feedback system enables reliable selection of nodes for specific tasks by providing information about their quality, resolving the contradiction between utilizing diverse personal devices and maintaining service reliability.
Solution Approach 2:
The patent changes the parameter of node selection from random or manual to graded and capability-based. By introducing grading parameters that assess service capabilities, the system can reliably utilize existing personal devices while ensuring that selected nodes meet minimum quality thresholds for their intended functions.
Data Source
AI summary
The present invention provides a hierarchical computing network with multiple tiers of computing nodes. Also disclosed is a method of organizing, ranking and grading a large number of computing nodes that are owned, maintained and used by a large number of different participants in geographically dispersed areas in an effort to provide computation, control, measurement and data services to a large number of users. One of the embodiments of the present disclosure provides a decentralized, distributed, cost-effective, environmental friendly, secure, reliable and scalable online file management system for a large amount of data from a large number of users and organizations.