Dynamic API Limit Enforcement in Document Management
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Solution Overview
Problem
Document management systems face challenges in determining and enforcing API limits due to varying usage requirements of external systems, which can lead to performance degradation or failure, especially when extreme API invocations occur accidentally or maliciously, and existing systems struggle to adapt to changing requirements over time.
Innovation Solution
A document management system that allows entities to request modifications to API limits, automatically determines whether to approve or deny these requests by comparing the requested limits with expected limits based on similar entities' usage patterns, using machine learning models and rule-based systems to predict API limits and enforce them dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If API limits are enforced strictly to prevent performance degradation, then system stability is improved, but adaptability to changing requirements of external systems deteriorates
Solution Approach 1:
The patent implements dynamic API limits that automatically adjust based on real-time system conditions and entity behavior patterns. The system transitions from static, pre-defined limits to dynamic, adaptive limits that respond to changing requirements while maintaining system stability through automated monitoring and adjustment mechanisms.
Solution Approach 2:
The system employs machine learning models that automatically analyze entity behavior patterns and determine appropriate API limits without manual intervention. The automated limit determination process allows the system to self-adjust to changing requirements, reducing the need for manual configuration while maintaining reliability.
2Productivity
If API limits are set high to accommodate larger external systems, then productivity is improved, but system resource consumption and risk of performance degradation increase
Solution Approach 1:
The patent applies different API limits to different entities based on their specific behavior patterns, size, and historical usage. Instead of using a uniform high limit for all entities, the system tailors limits locally to each entity's needs, allowing larger systems to have higher limits while smaller systems receive appropriate lower limits, thus maintaining overall system stability.
Solution Approach 2:
The system dynamically changes API limit parameters based on monitored entity behavior and system conditions. The machine learning models continuously adjust limit values according to observed patterns, allowing the system to optimize productivity for each entity while preventing performance degradation through adaptive parameter modification.
3Reliability
If manual review process is used to determine API limit modifications, then control over system resources is improved, but processing time and operational complexity increase
Solution Approach 1:
The patent implements an automated system where machine learning models independently determine appropriate API limits based on entity behavior patterns. The system performs self-analysis and self-determination of limits, eliminating the need for manual review while maintaining reliable resource control through algorithmic decision-making.
Solution Approach 2:
The system continuously monitors entity behavior and uses this feedback to automatically adjust API limits. The machine learning models process ongoing data streams and implement limit modifications based on observed patterns, creating a closed-loop control system that maintains resource management without manual intervention.
Data Source
AI summary
A document management system processes application programming interface (API) requests received from entities. The document management system processes the API requests to perform operations such as modifying a document, executing a document, or sending a set of documents to another entity. The document management system enforces API limits on API requests received from entities and processed by the document management system. The document management system allows an entity to request a modification to an API limit to a target API limit and determines whether to approve the requested modification. The document management system determines whether to approve the requested API limits based on a comparison with other entities that are similar to the entity based on past API requests received from the other entities.