Unified Programmable Configuration for Context-Aware Load Balancing
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Solution Overview
Problem
Conventional static configuration files in DNS and other computing systems impose limitations by requiring manual intervention for changes, leading to inefficiencies, increased processor overhead, and inability to adapt to dynamic user needs, especially in cloud-native, IoT, and AI-driven environments, while enforcing strict data types and formats, resulting in suboptimal load balancing and increased latency.
Innovation Solution
Implementing a unified programmable dynamic context-aware configuration that allows algorithmically-defined rules in configuration files, enabling devices to adapt behavior dynamically based on environment data, reducing the need for complex plugins and deep knowledge of the system, and allowing intelligent, context-aware responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static configuration files are used in DNS and computing systems, then configuration stability is maintained, but adaptability to dynamic user needs deteriorates and manual intervention requirements increase
Solution Approach 1:
The patent transforms static configuration files into dynamic configuration systems that can automatically adapt to changing conditions. Configuration files now contain executable code that evaluates runtime conditions (such as server load, geographic location, user preferences) and dynamically determines optimal configurations without requiring manual updates or interventions.
Solution Approach 2:
The system enables configuration files to self-evaluate and self-adjust based on embedded logic and runtime conditions. The configuration system automatically determines appropriate settings by evaluating conditions within the configuration file itself, eliminating the need for external manual configuration management.
2Productivity
If strict data types and formats are enforced in configuration files, then configuration consistency is maintained, but flexibility in implementing load balancing and responsiveness deteriorates
Solution Approach 1:
The patent transitions configuration files from static data structures with fixed types and formats to dynamic executable code with flexible parameters. This allows configuration files to contain conditional logic, loops, and function calls that can adapt to varying load conditions and system states, dramatically improving load balancing efficiency while managing complexity through structured programming constructs.
3Reliability
If manual configuration changes are required, then configuration accuracy is maintained, but processor overhead and latency increase
Solution Approach 1:
The patent embeds evaluation logic and decision-making algorithms directly within configuration files during the configuration creation phase. This preliminary action allows the system to automatically evaluate runtime conditions and determine optimal configurations in real-time, eliminating the time loss associated with manual configuration changes while maintaining accuracy through pre-validated logic.
Solution Approach 2:
The system implements continuous evaluation of runtime conditions within configuration files, creating a feedback loop that automatically adjusts configurations based on current system state. This real-time feedback mechanism maintains configuration accuracy by continuously validating against embedded rules while eliminating manual intervention delays.
Data Source
AI summary
A method includes receiving, by a processing device, a dynamic configuration file. The processing device loads the dynamic configuration file in memory. The method further includes receiving, by the processing device from a first input component, a first request for a configuration resource. The first request includes first environment data associated with the first input component. The method further includes identifying, by the processing device based on the configuration resource of the first request, a dynamic variable in the dynamic configuration file. The dynamic variable includes one or more algorithmically-defined rules. The method further includes executing, by the processing device, at least one of the one or more algorithmically-defined rules of the dynamic variable to determine, based on the first environment data, a first configuration response to the first request. The method further includes providing, by the processing device, the first configuration response to the first input component.