Database Provisioning Resource Pre-allocation via Template Grouping
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Solution Overview
Problem
The process of provisioning databases in private clouds is laborious and time-consuming, often taking weeks or months, due to the difficulty in quantifying and qualifying new architectures, leading to 'Paralysis by Analysis' and inefficiencies in resource allocation.
Innovation Solution
A method of pre-allocating resources in a private cloud by determining database characteristics, grouping them into templates, and pre-allocating resources based on these templates, allowing for rapid provisioning of databases by selecting a template and customizing parameters, thereby reducing the time required for provisioning from weeks to minutes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional database provisioning processes are used, then resource allocation can be customized for each database, but the provisioning time becomes excessively long (weeks or months)
Solution Approach 1:
The patent applies preliminary action by pre-defining database templates with standardized configurations, resource allocations, and compatibility specifications before actual provisioning requests. This allows the system to skip time-consuming analysis and configuration steps during actual provisioning, reducing the time from weeks/months to minutes while maintaining customization through template selection.
Solution Approach 2:
The patent changes parameters by transforming individual database specifications into standardized template parameters. By categorizing databases into templates with predefined resource allocations, software requirements, and compatibility rules, the system enables rapid provisioning through parameter selection rather than time-consuming parameter analysis and configuration.
2Reliability
If detailed analysis is performed to ensure compatibility and correctness of database provisioning, then reliability improves, but the process becomes paralyzed by analysis
Solution Approach 1:
The patent applies segmentation by dividing the complex provisioning process into distinct phases: template definition phase (where compatibility rules and resource requirements are pre-analyzed) and provisioning execution phase (where pre-validating templates are simply instantiated). This segmentation eliminates paralysis by analysis during execution while maintaining reliability through pre-established validation rules.
Solution Approach 2:
The patent performs compatibility analysis, resource allocation validation, and configuration verification in advance when creating database templates. This preliminary validation ensures provisioning correctness is established before actual deployment, eliminating the need for time-consuming analysis during the provisioning process itself.
3Productivity
If resources are allocated dynamically based on individual database requirements, then resource utilization efficiency improves, but the provisioning process becomes laborious and time-consuming
Solution Approach 1:
The patent uses copying by creating reusable database templates that encapsulate proven resource allocation configurations. Instead of analyzing and allocating resources from scratch for each database, the system copies validated templates and instantiates them with specific parameters, dramatically reducing provisioning effort while maintaining resource allocation efficiency through template-based customization.
Data Source
AI summary
A method of pre-allocating resources for database provisioning in a private cloud may include determining characteristics of a plurality of databases in a customer's database system. The method may also include grouping the characteristics of the plurality of databases to generate a plurality of database templates that are descriptive of the plurality of databases. The method may additionally include causing resources to be pre-allocated in the private cloud based on at least some of the plurality of database templates. The method may further include receiving a selection of a database template from the plurality of database templates as part of a provisioning request. The method may also include causing a database described at least in part by the database template to be provisioned in the private cloud.