Resource Matching System for Reducing Computing Waste
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional online systems are inefficient in connecting users and resources due to the need for users to manually sift through irrelevant postings, leading to wastage of computing resources like processing power, memory, and network bandwidth.
Innovation Solution
A computerized system that analyzes resource transfers to identify users with complementary patterns, monitors resource flows, and dynamically transfers resources from surplus to deficit users through a resource pool, predicting user actions and providing real-time recommendations to optimize resource distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually sift through online postings to find relevant resources, then users can access desired resources, but computing resources (processing power, memory, network bandwidth) are wasted
Solution Approach 1:
The patent introduces an intermediary system comprising a posting analyzer and resource matcher that acts as a mediator between users and online postings. The posting analyzer extracts features from postings, the system identifies complementary resource patterns, and the resource matcher connects users with relevant resources automatically, eliminating the need for users to manually sift through postings while reducing computing resource waste through intelligent automation
Solution Approach 2:
The system enables postings to self-analyze their own features and characteristics through automated analysis. The posting analyzer automatically processes postings to extract relevant features, and the system self-organizes complementary resource patterns without human intervention, allowing the system to serve itself in identifying and connecting relevant resources
2Loss of information
If conventional online systems require constant user searching through postings, then users can locate relevant resources, but time efficiency is reduced
Solution Approach 1:
The system performs preliminary actions by pre-analyzing postings to extract features and pre-identifying complementary resource patterns before users arrive. The posting analyzer and resource matcher are ready in advance to quickly connect users with relevant resources, eliminating the need for users to spend time searching through postings manually
3Productivity
If a computerized system analyzes and monitors resource transfers in real-time, then resource distribution efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the resource management system into distinct functional modules: a posting analyzer module for extracting features, a resource matcher module for identifying complementary patterns, and a resource transfer module for executing transfers. This segmentation allows each module to perform its specific function efficiently while reducing overall system complexity through modular design
Solution Approach 2:
The system introduces intermediary components including a resource pool that mediates between resource providers and consumers, and a pattern identifier that mediates between raw posting data and resource matching logic. These intermediaries simplify the overall system architecture by creating clear separation between data processing and decision-making functions
Data Source
AI summary
A system may be configured for: analyzing resource transfers to identify a subset of users having complementary resource transfer patterns; monitoring resource transfers of the subset of users; determining that a user has a resource surplus; transferring resources corresponding to the resource surplus from the user to a resource pool; determining that the second user has a resource deficiency; and transferring resources corresponding to the resource deficiency from the resource pool to the second user. The system may also be configured for: monitoring actions of the user within a client application; based on monitoring the actions of the user, predicting a future user action of the user within the client application; and transmitting a command to the client application, wherein the command is configured to cause the client application to display an interface for performing the future user action.