Delta Parameter Automation for Computing Configuration
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Solution Overview
Problem
Existing computing operation configuration methods are prone to errors due to manual input and are static, failing to adapt quickly to changing conditions.
Innovation Solution
A computer-implemented method that uses an access token to obtain account data, determines current and future metrics, calculates a delta parameter, and configures automated computing operations to be periodically performed based on this parameter, with the option to reconfigure upon detecting changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration methods are used, then user control and flexibility are maintained, but configuration errors increase and adaptability to changing conditions decreases
Solution Approach 1:
The patent implements dynamic configuration by automatically monitoring changing conditions (such as network status, device state, or environmental parameters) and adjusting computing operation parameters in real-time without manual intervention. This resolves the contradiction by making the system both reliable (automatic configuration reduces errors) and adaptable (continuous monitoring enables response to changing conditions).
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor system state and configuration effectiveness, then automatically adjust parameters based on this feedback. This closed-loop approach ensures high configuration accuracy while maintaining adaptability to changing conditions through continuous optimization.
2Adaptability or versatility
If automated configuration is implemented, then adaptability to changing conditions improves, but system complexity increases
Solution Approach 1:
The patent implements self-service configuration where the system automatically monitors its own state, determines optimal parameters, and adjusts configuration without external intervention. This self-configuring capability provides dynamic adaptability while minimizing the need for complex manual configuration interfaces or external management systems.
Solution Approach 2:
The system achieves adaptability by dynamically changing operational parameters based on monitored conditions rather than redesigning the entire configuration architecture. This approach enables flexible response to changing conditions while maintaining relatively simple system structure through parameter adjustment rather than structural complexity.
3Stability of the object's composition
If static configuration is used, then system stability is maintained, but response time to changing conditions increases
Solution Approach 1:
The patent implements dynamic configuration that continuously adapts to changing conditions while maintaining system stability through controlled parameter adjustments. The system monitors changes and applies gradual, stable modifications rather than abrupt changes, achieving both responsiveness and stability simultaneously.
Solution Approach 2:
The system employs periodic monitoring and configuration updates, checking system state at regular intervals and making adjustments when necessary. This periodic approach maintains stability by avoiding constant changes while ensuring timely response to significant condition changes through scheduled assessments.
Data Source
AI summary
Methods and systems for configuring automated computing operations are described. In one aspect, a method includes: using an access token, obtaining account data associated with a particular account at a data provider system via an access interface associated with the data provider system; receiving inputted data from a client device associated with the particular account at the computing system; based on the account data and the inputted data, determining a current metric and a future metric; determining a delta parameter based on the current metric and the future metric; providing, at the client device, a selectable option to initiate an automated computing operation based on the delta parameter; and after activation of the selectable option at the client device, configuring the automated computing operation to be periodically performed based on the delta parameter.