Dynamic Polling Controller for Network Volume Quota Management
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Solution Overview
Problem
Conventional computer network service providing systems face inaccuracies in volume quota management due to measurement granularity, leading to 'volume leak' where subscribers use more traffic than paid for, causing overcharging and quota leakage.
Innovation Solution
A computerized system with dual-frequency volume-utilization polling and a service stopper that polls subscribers at varying frequencies based on their quota usage, predicting when a subscriber is about to exceed their quota to prevent overcharging and leakage by discontinuing service before the quota is fully used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If polling frequency is increased to improve measurement precision, then volume quota management accuracy is improved, but device loading increases
Solution Approach 1:
The polling frequency is made dynamic rather than static. The system adjusts the polling frequency based on the subscriber's current quota usage level - using high frequency when the subscriber is close to exceeding their quota and low frequency when they are far from the limit. This dynamic adaptation resolves the contradiction by providing high measurement precision only when needed while maintaining low device loading during normal operation.
Solution Approach 2:
The system changes the polling parameter (frequency) based on the system state (quota proximity). By monitoring the subscriber's current volume usage and comparing it to their quota limit, the system adjusts the polling frequency parameter accordingly. This parameter change allows the system to optimize between measurement accuracy and device resource consumption.
2Device complexity
If polling frequency is decreased to reduce device loading, then device complexity is reduced, but volume leak increases
Solution Approach 1:
The system takes preliminary action by predicting when a subscriber will exceed their quota based on current usage patterns and remaining quota. This prediction allows the system to increase polling frequency proactively before actual quota exhaustion occurs, preventing volume leak while avoiding unnecessary high-frequency polling during normal operation. The preliminary prediction action resolves the contradiction by enabling preventive quota management.
3Device complexity
If asynchronous notifications are used to reduce system complexity, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The system implements feedback mechanisms where the access controller provides feedback about quota status to the service controller, which then adjusts polling frequency accordingly. This feedback loop allows the system to maintain measurement precision by responding to actual quota consumption patterns while keeping the overall architecture relatively simple. The feedback-driven adaptation resolves the contradiction between system complexity and measurement accuracy.
Data Source
AI summary
A Computer Network Service Providing System including Self Adjusting Volume enforcement functionality and methods for diminishing or minimizing volume leakage.