Intent-Driven Controller for Microservice Placement Optimization
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Solution Overview
Problem
Current network infrastructure provisioning methods require manual configuration and are time-consuming, failing to optimize network traffic flow due to the manual placement of microservices on network-connected equipment.
Innovation Solution
An intent-driven controller (IDC) automatically identifies and prioritizes networked equipment capable of meeting operational requirements for microservices, comparing operational requirement information with available capabilities to optimize microservice placement and network traffic flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual configuration methods are used to provision network infrastructure, then administrators can configure VLANs, IP subnets, and routing protocols, but the process becomes time-consuming and requires manual translation of application requirements into network configuration
Solution Approach 1:
The system enables self-service by allowing the network infrastructure to automatically provision itself based on application requirements. The controller receives high-level intent from applications and automatically translates it into network configurations, eliminating the need for manual administrator intervention in the provisioning process.
Solution Approach 2:
The controller acts as an intermediary between applications and network infrastructure. It receives high-level intent expressions from applications and automatically translates them into detailed network configurations, serving as a mediator that bridges the gap between application requirements and network implementation.
2Productivity
If manual placement of microservices on network-connected equipment is performed, then administrators can configure the network, but optimal network traffic flow is not achieved
Solution Approach 1:
The system uses feedback by continuously monitoring network traffic patterns and performance metrics, then automatically adjusting microservice placements to optimize traffic flow. The controller learns from network behavior and makes data-driven decisions about where to place microservices for optimal performance.
Solution Approach 2:
The system dynamically changes placement parameters based on network conditions and application requirements. It automatically adjusts which equipment runs which microservices by changing the operational parameters of the network infrastructure, optimizing traffic flow without requiring administrator intervention.
3Adaptability or versatility
If administrators manually translate application requirements into network configuration, then network can be configured, but the process requires deep knowledge of deployed equipment and operational software
Solution Approach 1:
The controller serves as an intermediary that handles the complexity of network configuration translation. It accepts simple high-level intent from applications and automatically generates the complex network configurations required, shielding administrators from the complexity while maintaining adaptability to different application needs.
Solution Approach 2:
The controller provides a universal interface for provisioning that works across different application types and network configurations. It handles multiple functions including intent translation, configuration generation, and optimization, making the system adaptable to various scenarios without requiring specialized knowledge for each case.
Data Source
AI summary
A system for identifying networked equipment on which to operate a computer software application has a store of currently available capability information associated with equipment connected to a communication network, a store of software application operational requirement information and an intent driven controller. The controller operates to identify networked equipment on which to run the software application by comparing application requirement information to currently available capability information associated with instances of the networked equipment looking for capability that satisfies the operational requirements.