Automated Push Messaging Quota Adjustment System

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Solution Overview

Problem

Current messaging quota systems rely on manual requests and adjustments, which are inefficient and do not automatically adapt to changes in user base size or usage patterns, leading to potential abuse and service delays.

Innovation Solution

Implement a system that automatically determines and adjusts push messaging quotas based on user base size, message volume analysis, and usage patterns, using a computing system to estimate and compare message volumes, and adjust quotas accordingly, with features to detect abuse and provide alerts or warnings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual quota adjustment processes are used, then system complexity is reduced, but productivity and adaptability deteriorate due to inefficiency and inability to automatically respond to user base changes

Engineering Contradiction:

Improvequota adjustment efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system automatically monitors user base size, estimates message volumes, and adjusts quotas without human intervention. The messaging server performs self-service by comparing actual message volumes against estimated volumes and autonomously modifying quota settings based on predefined policies and abuse detection results.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops where message volumes are monitored, compared against estimates, and used to trigger quota adjustments. Abuse detection feedback further refines quota management by identifying problematic senders and adjusting their individual quotas accordingly.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If automated quota adjustment is implemented, then productivity and adaptability improve, but device complexity increases due to additional monitoring and calculation mechanisms

Engineering Contradiction:

Improvequota adaptability to user base changesVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-calculating estimated message volumes based on user base size and historical data before actual message sending occurs. This allows proactive quota setting and adjustment rather than reactive changes, improving adaptability while streamlining the process.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The messaging server performs multiple functions including message routing, volume monitoring, estimation calculations, abuse detection, and quota adjustment all within a single system. This multi-functionality reduces the need for separate specialized systems while achieving high adaptability.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If manual quota monitoring is used, then device complexity is minimized, but reliability deteriorates due to potential abuse and service delays

Engineering Contradiction:

Improveservice reliability and abuse preventionVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system replaces manual mechanical monitoring processes with automated electronic monitoring and analysis. The messaging server automatically tracks message volumes, compares them against estimates, detects abuse patterns, and adjusts quotas through electronic control mechanisms, significantly improving reliability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary automated monitoring and decision-making layer between message senders and quota enforcement. This intermediary analyzes message volumes, detects abuse, and mediates quota adjustments, improving reliability by removing human error and bias from the process.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Productivity

If automated message volume estimation and comparison is implemented, then productivity improves by eliminating manual adjustments, but measurement precision requirements increase

Engineering Contradiction:

Improvequota management efficiencyVSAvoidmessage volume measurement accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system uses estimated message volumes based on user base size and historical data rather than requiring perfectly precise predictions. By accepting partial accuracy in estimation and allowing for adjustment based on actual volumes, the system achieves high productivity without demanding impossible measurement precision.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS8311041B1Systems and methods for automatically adjusting messaging quota

Publication Date: 2012.11.13 GOOGLE LLC

AI summary

Certain embodiments of the disclosed technology may include systems and methods for automatically adjusting messaging quota. According to an implementation of the disclosed technology, a computer-implemented method is provided for determining a first user base size; determining a first push message volume corresponding to the first user base size; setting a push message quota based at least in part on the first push message volume; determining a second user base size; determining an estimated push message volume based at least in part on the second user base size and the first push message volume; determining a second push message volume corresponding to the second user base size; comparing the estimated push message volume to the second push message volume; and adjusting the push message quota based at least in part on the comparison of the estimated push message volume to the second push message volume.