Dynamic Queue Throttling for Load Management Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Load management systems face challenges in efficiently managing access rights due to unauthorized activity, such as bot scripts mimicking user devices, leading to overloading and inefficiencies in detecting and controlling unauthorized access, especially at large scales.
Innovation Solution
Implementing a collision detection technique to dynamically throttle queue processing by determining a throttle factor based on the frequency of collisions, allowing for real-time adjustment of the number of queue positions processed, thereby controlling access to system resources and maintaining a consistent collision rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the load management system processes all queue positions sequentially, then access rights are assigned fairly, but unauthorized activity and bot scripts can overload the system resources
Solution Approach 1:
The system dynamically adjusts the number of queue positions processed in parallel based on detected collision frequency. When collisions (indicating unauthorized activity) are detected, the system reduces the number of processed positions; when no collisions occur, it increases processing capacity. This dynamic adaptation resolves the contradiction by maintaining security through collision-based throttling while preserving productivity through efficient resource utilization.
Solution Approach 2:
The system implements a feedback mechanism where collision detection results are used to adjust queue processing parameters. The collision detector monitors access right requests and feeds this information back to the load management system, which then modifies the number of queue positions processed. This closed-loop feedback enables the system to automatically respond to unauthorized activity while maintaining fair access for legitimate users.
2Productivity
If the system processes a large number of queue positions simultaneously to handle big-data levels, then productivity increases, but collision detection becomes more difficult and network resources are overburdened
Solution Approach 1:
The system processes only a subset of queue positions at a time rather than all positions simultaneously. By limiting the number of processed queue positions based on collision frequency, the system maintains manageable collision detection complexity while still achieving high throughput. This partial action approach prevents network resource overburdening while preserving productivity.
3Reliability
If the system uses collision detection to throttle queue processing, then unauthorized activity is controlled, but legitimate users may experience delayed access
Solution Approach 1:
The system performs self-regulation through automated collision detection and adaptive throttling. The load management system automatically adjusts queue processing based on detected collisions without requiring manual intervention. This self-service mechanism ensures that legitimate users experience minimal delay while effectively controlling unauthorized activity through dynamic parameter adjustment.
Data Source
AI summary
Certain embodiments of the present disclosure relate to systems and methods that control access to system resources, such as interfaces, access rights to events, query systems, and other suitable system resources. Further, certain embodiments of the present disclosure relate to a collision detection technique that is implemented to control which and/or a number of queue positions within a queue that are processed. In some implementations, a collision may be detected when two or more users request the same access right within a defined time period.