Real-Time Timeout Control for Variable System Load
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Solution Overview
Problem
Fixed timeouts in information handling systems lead to false triggers due to fluctuating environmental factors, resulting in inefficient execution and user experience degradation.
Innovation Solution
Dynamic adjustment of timeout periods based on real-time system metrics, such as CPU usage, memory, and network performance, to optimize operation completion times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed timeout values are used for operations, then the system has simple timeout handling logic, but false timeout triggers occur due to fluctuating environmental factors such as CPU usage and network latency
Solution Approach 1:
The patent applies dynamics by transitioning from fixed timeout values to dynamic timeout values that adapt based on real-time system metrics. The timeout value is no longer static but changes according to CPU usage, memory availability, and network conditions, allowing the system to accommodate fluctuating environmental factors while maintaining accurate timeout detection.
Solution Approach 2:
The patent implements feedback by continuously monitoring system metrics (CPU usage, memory, network latency) and using this information to adjust timeout values. The system receives feedback about current operational conditions and modifies the timeout parameter accordingly, creating a closed-loop control mechanism that improves timeout accuracy while managing complexity through automated adaptation.
2Ease of operation
If fixed timeout values are used, then the timeout mechanism is easy to implement, but it degrades user experience during periods of high system load or network latency
Solution Approach 1:
The system transitions from static timeout values to dynamic timeout values that automatically adjust based on real-time system conditions. During periods of high CPU usage or network latency, the timeout value increases to allow operations more time to complete, preventing false failures and improving user experience without requiring complex manual configuration.
Solution Approach 2:
The timeout mechanism serves itself by automatically adjusting its own parameter (timeout value) based on system metrics. The system monitors its own operational state and modifies the timeout accordingly, eliminating the need for external intervention or complex manual tuning while maintaining reliable operation completion detection.
3Reliability
If dynamic timeout adjustment based on real-time metrics is implemented, then false timeout triggers are reduced and user experience is improved, but the system complexity increases due to continuous metric monitoring and calculation
Solution Approach 1:
The patent applies universality by using a single dynamic timeout mechanism that serves multiple operations and adapts to various system conditions (CPU usage, memory, network). Rather than implementing separate timeout logic for each operation or condition, the system uses a unified approach that adjusts timeouts based on overall system metrics, reducing complexity through consolidation while maintaining high timeout accuracy.
Data Source
AI summary
An information handling system may include at least one processor and a memory. The information handling system may be configured to: receive a request to execute an operation, wherein the operation has a default timeout value associated therewith; adjust the default timeout value to a dynamic timeout value different from the default timeout value, wherein the dynamic timeout value is based on one or more metrics regarding a current operational state of the information handling system; and in response to the execution of the operation not completing prior to an expiration of the dynamic timeout value, failing the operation.