Distributed User Data Lodging for Location-Independent Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Centralized data storage in large-scale datacenters leads to slower and poorer data transfer speeds for users geographically distant from these centers, limiting the use of autonomous vehicles and creating unequal data service access.
Innovation Solution
A method and computing network that mobilizes user data by categorizing it into structured and unstructured data, distributing it across geographically distributed lodging nodes, and scheduling its movement to be near the point of consumption, using a hierarchical computing network integrated with cellular, satellite, and internet networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in centralized large-scale datacenters, then data storage and computing power are concentrated, but data transfer speed and quality deteriorate for users geographically distant from these centers
Solution Approach 1:
The patent segments the centralized datacenter system into multiple distributed lodging nodes geographically dispersed across different locations. Each node stores portions of user data locally, transforming the single centralized storage system into a distributed network of storage points, thereby reducing geographic distance and improving data transfer speed for distant users.
Solution Approach 2:
The patent introduces a new spatial dimension to data storage by distributing lodging nodes across multiple geographic locations rather than concentrating all storage in single datacenters. This dimensional expansion allows users to access data from the nearest lodging node, improving transfer speed while maintaining storage reliability through redundancy.
2Ease of operation
If data is stored in centralized datacenters, then maintenance and security management become easy and efficient, but data service quality becomes unequal for users at different geographic locations
Solution Approach 1:
The patent creates lodging nodes that can function in multiple roles: they store data locally, serve as access points for nearby users, and maintain security protocols. Each lodging node is designed with universal capabilities to handle storage, retrieval, and security functions, allowing the system to adapt to different geographic locations while maintaining consistent service quality.
Solution Approach 2:
The patent implements local quality by placing lodging nodes in proximity to different user groups, allowing each node to optimize data service for its local user base. This local presence ensures that users near any lodging node receive high-quality data service, eliminating the geographic inequality inherent in centralized systems.
3Productivity
If data is stationary in centralized datacenters, then computing efficiency is improved through centralized processing, but mobility of data access is reduced
Solution Approach 1:
The patent transforms the static centralized storage model into a dynamic distributed system where lodging nodes can be added, removed, or relocated based on user needs and geographic distribution. This dynamic architecture allows the system to adapt to changing access patterns while maintaining computing efficiency through distributed processing capabilities at each node.
Data Source
AI summary
The present invention provides a method of mobilizing user data in a computing network. The method includes (i) providing a computing network that stores and delivers data, wherein the network comprises multiple lodging nodes that are geographically distributed; (ii) categorizing the data stored in and delivered by the computing network into user data and system data; and (iii) delivering an end user (EU)'s user data to one of the lodging nodes. One of the benefits from this method is that an end user does not need to carry his/her data with a mobile computing device or storage device while on the move, while the security, safety, reliability and redundancy of the user data are maintained.