User-Centric Server Queue Prioritization for Peak Load Access
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Solution Overview
Problem
Conventional server management approaches fail to maintain server performance during peak usage periods while ensuring uninterrupted access for privileged users, often inducing usage latencies and expanding server-related costs.
Innovation Solution
Implementing an automated user-centric server management system that differentiates between regular and privileged users by processing requests from privileged users first and prioritizing them based on user credentials, while managing traffic to prevent server overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional server management approaches are used during peak usage periods, then server-related costs increase and usage latencies expand, but privileged users cannot ensure uninterrupted service
Solution Approach 1:
The patent segments incoming server requests into different categories based on user credentials, creating distinct processing queues for privileged users versus regular users. This segmentation allows the system to handle different user types with different priority levels, ensuring privileged users receive uninterrupted service while managing overall server load during peak periods.
Solution Approach 2:
The patent applies local quality by providing differentiated service quality to different user groups. Privileged users receive high-priority processing with guaranteed service continuity, while regular users are managed through rate limiting and queue prioritization. This localized quality approach resolves the contradiction by ensuring reliability for specific users without incurring costs for all users.
2Productivity
If conventional server management approaches are used during peak usage periods, then server performance cannot be maintained, but implementing differentiated processing increases system complexity
Solution Approach 1:
The patent implements preliminary action by pre-configuring rate limits, queue priorities, and user credential verification rules before peak usage periods occur. The system proactively identifies and categorizes users based on their credentials, and pre-establishes processing priorities. This preliminary preparation enables the system to maintain high productivity during peak usage without requiring complex real-time decision-making, thus avoiding increased system complexity.
3Loss of energy
If all requests are processed equally during peak usage periods, then server overload occurs and costs expand, but prioritizing certain users requires processing multiple request categories
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting processing parameters such as queue priority, rate limits, and throughput controls based on user credentials and server load conditions. Instead of using a fixed processing approach, the system changes parameters like request handling priority and resource allocation based on the user category, enabling cost-effective server operation during peak periods while managing processing complexity through parameterized control.
Data Source
AI summary
Methods, apparatus, and processor-readable storage media for automated user-centric server management are provided herein. An example computer-implemented method includes obtaining requests for server-related resource(s) access in connection with at least one time period; identifying at least a first portion of the requests as corresponding to a first category of user type and at least a second portion of the requests as corresponding to a second category of user type by processing user credentials from the requests; automatically processing the first portion of the requests; prioritizing, in a request queue data structure, the second portion of the requests based on request volume parameters related to the time period(s) and at least a subset of the corresponding user credentials; and automatically processing, during the time period(s), the second portion of the requests from the request queue data structure in accordance with the prioritizing.