Distributed Control Plane for Intent-Based System Management
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Solution Overview
Problem
Existing distributed systems face challenges in accurately interpreting user intents due to imperfect interfaces, leading to potential misconfiguration of data processing systems and inefficient resource allocation, as they rely on rigid configurations and top-down management, which can result in services not meeting user demands.
Innovation Solution
A distributed control plane management system that utilizes an intermediate representation of roles to evaluate and configure data processing systems based on user intents, resolving contradictions through additional user input and simulation, and dynamically adjusts configurations to ensure services align with user expectations, even in isolated or resource-constrained environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If rigid configurations and top-down management are used, then system control is simplified, but service configuration accuracy and user intent fulfillment deteriorate
Solution Approach 1:
The patent segments the control system into distributed control plane entities that operate autonomously at edge locations. Each control plane entity independently manages local data processing systems, eliminating the need for centralized top-down management. This segmentation enables local interpretation of user intents through machine learning models, improving accuracy while maintaining simplified overall system control through decentralized autonomy.
Solution Approach 2:
The control plane entities are designed to autonomously interpret user intents, evaluate data processing system configurations, and make configuration decisions without centralized control. The machine learning models enable self-service capability by automatically understanding user requirements and translating them into appropriate system configurations, resolving the contradiction between simplified control and accurate intent fulfillment.
2Reliability
If additional control mechanisms are implemented to improve service configuration accuracy, then user intent fulfillment improves, but system complexity increases
Solution Approach 1:
The control plane entities are designed as multi-functional units that perform intent interpretation, configuration evaluation, decision-making, and system management functions. This universality allows a single distributed control entity to handle multiple control tasks without requiring separate specialized mechanisms, thereby improving service configuration reliability while avoiding excessive system complexity through functional consolidation.
3Stability of the object's composition
If centralized top-down management is used, then system-wide coordination is improved, but adaptability to local conditions and user-specific intents deteriorates
Solution Approach 1:
The patent divides the centralized control function into multiple distributed control plane entities, each responsible for local data processing systems. This segmentation enables each entity to adapt to local conditions and interpret user-specific intents while maintaining system-wide coordination through standardized communication protocols and shared machine learning models, resolving the contradiction between coordination stability and local adaptability.
Data Source
AI summary
Methods and systems for managing distributed systems are disclosed. The distributed systems may include any number of data processing systems that may contribute to the functionality of the distributed system. To contribute to the functionality of the distributed system, each of the data processing systems may need to be configured to positively contribute to one or more functions. To manage configuration of data processing system, user input reflecting the intents of users may be obtained. The user input may reflect responses to multiple inquires which may elucidate a user's true intent with respect to user of services provided by data processing systems.