API Branch Prediction Using Device-Specific Performance History

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Solution Overview

Problem

Performance metrics of client devices vary, affecting communication and feature usage in applications, leading to inconsistent user experiences due to suboptimal API selection.

Innovation Solution

A branch prediction system that utilizes a history buffer and API map to dynamically select the best API for a client device based on historical performance data, aggregated on a per-user and per-device basis, ensuring timely and satisfactory task execution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a single global API policy is used for all devices, then implementation is simple, but performance varies suboptimally across different device configurations

Engineering Contradiction:

ImproveAPI selection adaptabilityVSAvoidAPI selection complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by collecting performance data from multiple API calls during a data collection period, building a history buffer with device-specific performance metrics before making optimization decisions. This preliminary data gathering enables subsequent per-device API selection without requiring complex real-time analysis.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention segments the global API policy into device-specific policies by creating per-device history buffers and API maps. Each device maintains its own performance history and receives customized API selection based on its specific performance characteristics, rather than applying a single universal policy to all devices.

Inventive Principle:

Principle #1Segmentation

2Reliability

If per-device API optimization is implemented, then user experience improves, but system complexity increases

Engineering Contradiction:

Improvetask execution reliabilityVSAvoidAPI management complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system implements self-service by having each device maintain its own performance history buffer and by allowing performance data to naturally accumulate through normal API usage. The device-specific optimization emerges from accumulated performance data rather than requiring complex centralized control mechanisms.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The invention incorporates feedback mechanisms where API performance data is continuously collected, stored in device-specific history buffers, and used to inform subsequent API selection decisions. This feedback loop enables the system to adapt to each device's performance characteristics over time.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250251948A1BRANCH PREDICTION FOR APIs

Publication Date: 2025.08.07 CIESLAK MICHAEL

AI summary

Providing branch prediction of APIs to determine the best API for an application to use when performing a function. An API history buffer stores a history of performance data in association with APIs when the function is performed by an application. An API map dynamically stores application performance data in association with APIs. This history data and the API map is used by a circumstance engine and a circumstance engine service to provide a suggested API to an application when it is ready to perform a function.