Dynamic Failure Criteria Adjustment in Networked Devices
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Solution Overview
Problem
Existing networked computer systems rely on fixed failure criteria that cannot be dynamically adjusted based on failure data from other devices, leading to inefficient failure management and potential system instability.
Innovation Solution
An apparatus and method that dynamically adjust local failure criteria in response to external failure data received from other devices, allowing for more responsive or less responsive failure management based on the data received, and includes a grouping module to determine device groups associated with distributed applications, a data module to receive and process failure data, and a reaction module to adjust failure criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed failure criteria are used, then system stability is maintained, but failure management responsiveness deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from static, fixed failure criteria to dynamic, adjustable failure criteria. The system continuously monitors failure data from devices and automatically adjusts failure thresholds and response criteria based on observed failure patterns and system conditions, enabling the failure management algorithm to adapt its behavior in real-time while maintaining stability.
Solution Approach 2:
The patent implements feedback mechanisms where failure data collected from devices is fed back into the failure management algorithm. This feedback loop enables the system to learn from actual failure occurrences and adjust its criteria accordingly, improving responsiveness without compromising stability. The algorithm uses historical failure data to refine future failure detection and response criteria.
2Adaptability or versatility
If failure criteria are dynamically adjusted, then failure management responsiveness is improved, but system stability may deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-establishing baseline failure criteria and adjustment parameters before system operation begins. The system prepares adjustment rules and threshold ranges in advance, allowing for controlled and predictable modifications to failure criteria based on observed conditions, thereby preventing arbitrary or unstable changes while maintaining adaptability.
Solution Approach 2:
The patent implements beforehand cushioning by establishing buffer zones and transition periods in failure criterion adjustments. When failure criteria are modified based on new data, the system applies gradual adjustments rather than abrupt changes, cushioning against potential instability. This includes setting minimum and maximum adjustment limits and requiring multiple consecutive observations before implementing significant criterion changes.
3Measurement precision
If failure data is collected from all devices, then failure detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by tailoring failure data collection and monitoring parameters to specific device types and failure modes. Rather than uniformly collecting all possible data from all devices, the system identifies and collects only the relevant failure indicators for each device category (e.g., temperature sensors for overheating failures, error rates for software failures), reducing complexity while maintaining detection accuracy.
Solution Approach 2:
The patent implements partial action by selectively monitoring and collecting failure data from a subset of critical devices or critical parameters rather than all devices. The system identifies key failure indicators and focuses data collection efforts on those, avoiding the complexity of implementing comprehensive monitoring across the entire system while still achieving sufficient detection accuracy for effective failure management.
Data Source
AI summary
Apparatuses, systems, methods, and program products are disclosed for adjusting failure response criteria based on external failure data. A grouping module determines a group of a plurality of devices communicatively connected over a data network. Each device of the group is configured to send failure data to one or more other devices in the group in response to satisfying a failure criterion. A data module receives failure data from at least one device of the group. The failure data indicates that the at least one device of the group has satisfied a failure criterion. A reaction module dynamically adjusts one or more local failure criteria in response to receiving the failure data from the at least one device of the group.