Dynamic Web Server Timeout Adjustment via ML Heuristics
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Solution Overview
Problem
Current web server management systems employ static connection timeout settings, which require manual adjustment by administrators, leading to inefficiencies, resource wastage, and temporary downtimes due to inadequate granularity in responding to changing client-server connection circumstances such as user behavior, traffic load, and content types.
Innovation Solution
A dynamic timeout management system that uses machine-learning heuristic models to adjust timeout parameters based on real-time data from sensors monitoring user behavior, traffic, and content characteristics, automatically updating timeout values to optimize connection management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static timeout settings are used, then system simplicity is maintained, but adaptability to changing connection circumstances deteriorates
Solution Approach 1:
The patent implements dynamic timeout adjustment by transitioning from static pre-configured timeout values to dynamically computed timeout parameters. The system continuously monitors connection characteristics, traffic patterns, and server load metrics, then automatically adjusts timeout values in real-time based on current system conditions. This dynamic approach enables the system to adapt to changing connection circumstances without manual intervention while maintaining manageable complexity through automated control mechanisms.
Solution Approach 2:
The patent changes the timeout parameter from a fixed static value to a dynamically adjustable parameter based on multiple input factors including connection type, traffic load, server performance metrics, and historical data. By modifying the timeout parameter adaptively rather than keeping it constant, the system achieves versatility in handling different connection scenarios while the automated parameter adjustment process prevents excessive complexity.
2Manufacturing precision
If manual timeout adjustment is performed, then timeout accuracy is improved, but productivity deteriorates due to administrator intervention requirements
Solution Approach 1:
The patent implements self-service timeout management by enabling the system to automatically monitor its own performance metrics, analyze connection patterns, and adjust timeout parameters without external administrator intervention. The automated system uses embedded sensors and monitoring mechanisms to collect real-time data, processes this information through analytical algorithms, and autonomously modifies timeout settings to achieve optimal accuracy while eliminating the productivity loss associated with manual configuration requirements.
Solution Approach 2:
The patent establishes a feedback loop where timeout performance is continuously monitored and measured, and this performance data feeds back into the timeout adjustment mechanism. The system uses real-time feedback from connection outcomes, server load metrics, and traffic patterns to automatically refine and adjust timeout parameters, achieving high timeout accuracy through data-driven automated adjustment rather than manual intervention, thereby maintaining system productivity.
3Loss of time
If static timeout values are used, then device complexity is reduced, but loss of time increases due to premature disconnections
Solution Approach 1:
The patent applies dynamic timeout adjustment to prevent premature disconnections by continuously adapting timeout values based on real-time connection characteristics and server performance. The system monitors active connections and adjusts timeout parameters dynamically to match actual connection needs, thereby reducing unnecessary disconnections and associated time losses. The automated dynamic management mechanism maintains acceptable complexity levels through systematic monitoring and adjustment processes.
Solution Approach 2:
The patent implements preliminary action by proactively adjusting timeout parameters before connection issues occur. The system analyzes historical connection data, traffic patterns, and server performance trends to predict optimal timeout values in advance, preventing premature disconnections before they happen. This proactive approach reduces connection downtime while the automated prediction and adjustment mechanisms keep system complexity manageable.
4Adaptability or versatility
If dynamic timeout adjustment is implemented, then adaptability improves, but device complexity increases
Solution Approach 1:
The patent achieves universal timeout management by creating a multi-functional automated system that handles multiple connection types, traffic patterns, and server configurations through a single integrated timeout adjustment mechanism. The system uses unified monitoring and control processes that can adapt to various scenarios without requiring separate management mechanisms for each case, thereby maintaining timeout configuration flexibility while preventing excessive complexity through consolidation and standardization of management functions.
Data Source
AI summary
A method, system and computer program product for dynamically adjusting a timeout parameter associated with a connection between a client device and a server. Information is associated with at least one of a characteristic of a content to be rendered by a server, a characteristic of traffic of a connection to the server, and a characteristic of a user of the server is received from the client device and transmitted to the server. Based on the transmitted information, an amount of time in a previously stored timeout parameter associated with a client device is adjusted automatically with a new timeout parameter to enable communication between the client device and the server. The new timeout parameter is stored in place of the previously stored timeout parameter. Responsive to the amount of time to wait for a response from the client device satisfying the new timeout parameter, the communication between the client device and the server is terminated.