Automated Compatibility Matrix for Data Center Resource Deployment
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Solution Overview
Problem
In large data centers, it is challenging to manually identify suitable resources such as hosts and storage subsystems that meet specific conditions for deploying applications, due to the diversity of hardware, software, and resources, often requiring manual trial and error approaches.
Innovation Solution
The implementation of an automated compatibility matrix system that identifies and configures resources based on specified conditions, including host and storage parameters, to ensure resource compatibility, and provides recommendations for upgrades or changes to resolve incompatibility issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual trial and error approaches are used to identify suitable resources in large data centers, then resource compatibility can be achieved, but the process becomes extremely time-consuming and labor-intensive
Solution Approach 1:
The patent pre-establishes a compatibility matrix that stores compatibility relationships between different resource types (hosts, storage subsystems, applications) before deployment. This preliminary action allows the system to quickly query and identify compatible resources without performing manual trial and error during actual deployment, thus resolving the contradiction between ensuring compatibility and reducing deployment time
Solution Approach 2:
The patent creates a virtual representation of the compatibility matrix that mirrors the actual resource relationships in the data center. This copied structure allows administrators to query compatibility information efficiently without physically testing each resource combination, thereby maintaining reliability while significantly reducing the time required for resource identification
2Adaptability or versatility
If diversity of hardware and software is maintained to serve multiple customers with different requirements, then adaptability is improved, but tracking and managing resources becomes difficult
Solution Approach 1:
The patent segments the complex data center environment into distinct resource types (hosts, storage subsystems, applications) and creates separate compatibility matrices for each type. This segmentation allows the system to maintain diversity across multiple categories while simplifying management by handling each category independently through standardized compatibility checking procedures
Solution Approach 2:
The patent implements a universal compatibility matrix framework that can handle multiple resource types and customer requirements through a single standardized system. This universal approach allows the same compatibility checking mechanism to serve diverse customers with different needs, maintaining adaptability while reducing management complexity through consistency
3Manufacturing precision
If comprehensive compatibility checking is performed for all resources, then deployment accuracy is improved, but the complexity of the deployment process increases
Solution Approach 1:
The patent performs comprehensive compatibility checking in advance by pre-populating the compatibility matrix with all possible resource combinations and their compatibility status. This preliminary comprehensive checking ensures high deployment accuracy when resources are actually deployed, while the pre-computed matrix simplifies the actual deployment process by providing ready-made compatibility information without requiring complex real-time checking procedures
Data Source
AI summary
Systems and methods of resource compatibility for data centers are disclosed. In an example, the method may include accessing a condition for utilizing resources. The method may also include comparing the condition to compatibility information for the resources in a data center. The method may also include using the comparison to identify a supported configuration for the resources in the data center satisfying the condition.