User Priority Queue Server Response Time Adjustment
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Solution Overview
Problem
Current server applications fail to differentiate and adjust user response times based on individual user expectations and needs, leading to inefficient wait times for high-expectancy users, especially under high load conditions, where all users are treated equally regardless of their performance requirements.
Innovation Solution
A system and method that prioritize users into separate waiting queues based on their user profiles, which are generated based on expectancy, performance needs, and attributes, allowing for distinct response times by allocating user requests to higher or lower priority queues accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If all users are treated equally with the same queue, then server management is simplified, but high-expectancy users experience unacceptable response times under load
Solution Approach 1:
The patent segments users into different priority queues (first priority, second priority, third priority) based on their expectancy levels. This segmentation allows the server to manage different user groups separately, providing faster response times for high-expectancy users while maintaining simplified management through automated priority assignment based on user profiles.
2Loss of time
If separate priority queues are implemented for different users, then high-expectancy users receive faster response times, but server management complexity increases
Solution Approach 1:
The system implements self-service by automatically assigning users to appropriate priority queues based on their user profiles and expectancy levels stored in the database. The server autonomously manages the multiple queues without requiring manual intervention, reducing operational complexity while maintaining the benefits of differentiated response times.
3Productivity
If server response time is increased for low-expectancy users, then more users can be served simultaneously, but these users may perceive service degradation
Solution Approach 1:
The patent applies local quality by providing differentiated service levels to different user groups. High-expectancy users receive prioritized service with faster response times, while low-expectancy users are served from lower priority queues. This localized quality adjustment allows the server to maximize throughput by serving more users simultaneously while maintaining perceived service quality for each group through appropriate priority assignment.
Data Source
AI summary
A system and method are described herein that prioritize users into waiting queues based on the previously measured end user response time for each user or a user's expectancy for a shorter response time. A user profile may be generated for each user based on the user's expectancy, performance needs, or attributes about the user. The system and method may provide access to a server for each user based on their placement and prioritization in each queue, creating distinct server and/or end user response times for distinct users.