Adaptive Service Timeout Management for Dynamic Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing service-oriented architectures rely on preset timeouts that do not adapt to varying system states, leading to inefficient resource utilization and increased service call failures, especially during periods of high or low system resource usage.
Innovation Solution
A timeout management application that dynamically adjusts service timeouts based on system resource availability and service dependencies, prioritizing high-priority services and minimizing impact on dependent services to optimize resource allocation and availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If preset timeout values are used for services, then service call processing is simple and straightforward, but resource utilization becomes inefficient and service call failures increase during varying system states
Solution Approach 1:
The patent implements dynamic timeout adjustment by continuously monitoring system resource availability and adapting timeout values accordingly. The timeout management application observes system state changes and automatically modifies timeout parameters for service calls, transforming static preset timeouts into dynamic adaptive timeouts that respond to real-time system conditions.
Solution Approach 2:
The system employs feedback mechanisms by monitoring service call outcomes and system resource states, then using this information to adjust timeout values. The timeout management application receives feedback about system performance and resource availability, and uses this feedback to optimize timeout settings for future service calls, creating a closed-loop control system.
2Reliability
If timeout values are increased to allow more time for service completion, then service call success rate improves, but system resource availability decreases for other services
Solution Approach 1:
The system dynamically adjusts timeout values based on real-time system resource availability. When resources are abundant, timeouts are increased to improve service success rates. When resources become scarce, timeouts are reduced to free up resources for other services, creating a balanced approach that adapts to changing system conditions.
Solution Approach 2:
The patent changes the timeout parameter based on system state observations. The timeout management application monitors system conditions and adjusts the timeout parameter values accordingly, transforming fixed timeout settings into variable parameters that optimize both service reliability and resource availability under different operating conditions.
3Productivity
If timeout values are decreased to free resources quickly, then resource availability for other services improves, but service call failures increase
Solution Approach 1:
The system uses dynamic timeout adjustment to prevent service call failures while maintaining resource availability. By continuously adapting timeout values to system conditions, the system ensures timeouts are long enough to allow successful service completion but not so long that they monopolize resources, resolving the trade-off between reliability and productivity.
4Productivity
If adaptive timeout adjustment is implemented, then resource utilization efficiency improves, but system complexity and monitoring requirements increase
Solution Approach 1:
The timeout management application implements self-service by automatically monitoring system state and adjusting timeout values without external intervention. The system serves itself by detecting resource availability changes and autonomously optimizing timeout parameters, reducing the need for manual configuration and external monitoring infrastructure.
Data Source
AI summary
Disclosed are various embodiments for a timeout management application. Latency data for executing services is obtained. The used service capacity is calculated. If the service capacity is outside of a predefined range, the timeout of a selected service is reconfigured.