Dynamic API Selection for Converged Infrastructure Management
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Solution Overview
Problem
Conventional methods for managing multiple APIs in converged infrastructures are inefficient and labor-intensive due to the need for static configuration of each API for heterogeneous computing resources, lacking resiliency and robustness.
Innovation Solution
A system that dynamically selects an API for a computing component within a converged infrastructure based on various selection metrics, such as failure rates, response latency, and API capabilities, using a dynamic API selection component and a communication services component to enable communication between the component and management software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static configuration of each API for each computing component is used, then API compatibility is ensured, but configuration time and labor increase significantly
Solution Approach 1:
The system enables self-service by allowing computing components to automatically select and configure their own APIs through dynamic discovery mechanisms. The component publishes its capabilities and requirements, and the management software autonomously matches them with appropriate APIs from available providers, eliminating manual configuration efforts while ensuring compatibility through systematic matching criteria.
Solution Approach 2:
The system changes the approach from static to dynamic parameter configuration. Instead of pre-configuring fixed API mappings, the system continuously evaluates component states, performance metrics, and availability conditions to dynamically adjust API selections. This allows the configuration to adapt to changing system conditions while maintaining compatibility through real-time validation.
2Productivity
If multiple heterogeneous computing resources are included in converged infrastructure, then resource utilization efficiency improves, but system complexity increases
Solution Approach 1:
The system implements universality by creating a common framework that handles diverse computing resources through standardized mechanisms. The dynamic API selection system provides universal interfaces that work across different component types, and the automated discovery and matching processes apply uniformly regardless of resource heterogeneity, allowing efficient utilization without proportionally increasing management complexity.
Solution Approach 2:
The system introduces intermediary layers including API providers, component capability registries, and automated matching services that mediate between heterogeneous resources and management functions. These intermediaries abstract the complexity of diverse component interfaces, presenting unified access points while handling the intricacies of resource-specific protocols and requirements behind the scenes.
3Manufacturing precision
If manual API configuration is performed for each component, then configuration accuracy is maintained, but labor intensity increases
Solution Approach 1:
The system implements feedback mechanisms where component capability information, API performance metrics, and matching results are continuously monitored and used to refine future selections. The automated system learns from configuration outcomes and performance data, adjusting its matching algorithms to improve accuracy over time while reducing the need for manual intervention in configuration decisions.
Solution Approach 2:
The system replaces manual mechanical configuration processes with automated computational systems. Instead of human operators manually matching components to APIs, the system uses automated discovery, evaluation, and selection algorithms that process component capabilities and API characteristics computationally, maintaining precision through systematic evaluation while eliminating labor-intensive manual configuration tasks.
4Reliability
If dynamic API selection is implemented, then system resiliency improves, but selection complexity increases
Solution Approach 1:
The system embraces dynamics by implementing flexible, adaptable API selection mechanisms that respond to changing system conditions. The selection process continuously evaluates component states, API availability, and performance metrics to dynamically adjust choices, enabling the system to adapt to failures, load changes, and resource availability variations, thereby improving resiliency through responsive reconfiguration.
Solution Approach 2:
The system applies segmentation by breaking down the complex selection process into distinct modular components: capability discovery, requirement analysis, matching algorithms, validation, and execution. Each segment handles a specific aspect of the selection process independently, making the overall complex system manageable through clear separation of concerns while maintaining the ability to dynamically select APIs based on integrated evaluation of all segments.
Data Source
AI summary
Aspects of the present disclosure involve converged infrastructures, and more particularly, systems that automatically select an application programming interface for use in connecting one or more components of the converged infrastructure with management software. Component information is obtained for a particular component within the converged infrastructure. The component information is used in conjunction with various selection metrics to identify an applicable application programming interface.