Orchestration System for Distributed Infrastructure Configuration
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Solution Overview
Problem
Existing system management technologies struggle to efficiently manage and configure large-scale distributed infrastructure due to complexity, high likelihood of configuration errors, and the need for extensive manual labor.
Innovation Solution
A declarative orchestration system that uses a multi-state finite state machine to implement desired states in a distributed infrastructure, reducing the need for manual configuration and enabling dynamic state transitions in response to events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration of subsystems is performed, then configuration accuracy can be ensured, but time consumption and labor requirements increase significantly
Solution Approach 1:
The patent implements preliminary action by pre-defining configuration templates and desired states for subsystems before actual deployment. The system stores standardized configuration patterns that can be automatically applied when subsystems are instantiated, eliminating the need for manual configuration during deployment while ensuring accuracy through pre-validated templates.
Solution Approach 2:
The patent applies copying by creating virtual representations of desired system states through configuration files and templates. These copied configurations can be replicated across multiple subsystems consistently, ensuring configuration accuracy while reducing manual effort. The desired state specifications serve as templates that are copied and applied to various subsystems automatically.
2Productivity
If ad-hoc scripts are used for automation, then operational efficiency improves, but system reliability deteriorates due to brittleness and lack of quality assurance
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring the actual state of subsystems and comparing it against the desired state specifications. When deviations are detected, the system automatically initiates corrective actions to restore the desired state. This closed-loop feedback ensures reliability while maintaining automation, replacing brittle ad-hoc scripts with robust, self-correcting processes.
Solution Approach 2:
The patent applies parameter changes by transforming operational procedures from static script-based automation to dynamic state-based automation. The system uses configurable parameters and state transitions that can adapt to different scenarios, replacing fixed ad-hoc scripts with flexible, parameter-driven automation that maintains reliability through structured state management and validation rules.
3Adaptability or versatility
If distributed systems scale dynamically, then system capacity increases, but configuration complexity and error probability increase
Solution Approach 1:
The patent applies universality by creating a unified desired state specification framework that works across diverse subsystems and scaling scenarios. The same configuration templates and state specifications can be applied universally to different subsystem types, regardless of how the system scales. This universal approach reduces configuration complexity while maintaining dynamic scaling capability, as the same principles apply whether the system has 10 or 10,000 subsystems.
4Speed
If configuration changes are made rapidly, then response time to events improves, but configuration errors increase
Solution Approach 1:
The patent applies preliminary action by pre-validating configuration changes against desired state specifications before applying them to the live system. Configuration templates are defined in advance with validation rules, allowing rapid application of pre-approved changes without introducing errors. This enables fast response to events while maintaining configuration accuracy through预先 validation.
Solution Approach 2:
The patent implements feedback by continuously verifying that configuration changes maintain the desired state. After rapid configuration changes are applied, the system monitors for deviations and automatically corrects errors. This feedback mechanism enables rapid changes while preventing configuration errors from persisting, as any deviations are quickly detected and corrected.
Data Source
AI summary
An orchestration system and method for configuring a large-scale distributed infrastructure including multiple subsystems. An orchestration model with pre-defined modules is provided for implementing desired states in the distributed infrastructure. Some modules of the orchestration model are coupled to a multi-state finite state machine including a list of desired states. A dynamic state transition of at least one finite state machine from one desired state to another is performed, in response to one or more detected events triggering a transition condition.