Automated Resource Planning for Data Protection Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The unavailability of necessary hardware and software resources, combined with regulatory complexities and the labor-intensive nature of data protection validation, hinders effective and timely testing of backup data, especially in complex and heterogeneous environments managed by third-party service providers.
Innovation Solution
A computer-implemented method and system for defining a validation scenario that includes determining resource requirements based on attributes such as time frames and backup images generated using data protection solutions, allowing for automated generation of resource needs for validating data protection solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual testing procedures are used for data protection validation, then comprehensive validation can be performed, but the process becomes labor intensive and time consuming
Solution Approach 1:
The system performs self-validation by automatically executing validation scenarios against backup images, generating reports without requiring manual intervention. The computer system autonomously manages the entire validation process including resource allocation, scenario execution, and result documentation.
Solution Approach 2:
Manual mechanical testing processes are replaced with automated computer-based validation systems that execute predefined scenarios, eliminating the need for human operators to manually test each backup while maintaining comprehensive validation coverage.
2Loss of time
If extensive resource allocation is provided for validation, then timely and thorough testing can be performed, but hardware and software resource availability becomes constrained
Solution Approach 1:
Validation scenarios are defined and resource requirements are determined in advance before actual validation execution. This preliminary planning allows efficient resource allocation and prevents resource conflicts during validation operations.
Solution Approach 2:
The validation system is designed to handle multiple validation scenarios across diverse data protection solutions using a unified platform, maximizing the utilization of available hardware and software resources across different validation tasks.
3Reliability
If comprehensive validation of multiple backup images is performed, then data protection quality is ensured, but the complexity of managing heterogeneous environments increases
Solution Approach 1:
The validation process is segmented into distinct validation scenarios that can be independently defined, executed, and managed. Each scenario targets specific aspects of data protection validation, making the overall complex process manageable through modular decomposition.
Solution Approach 2:
The system introduces an intermediary validation layer that standardizes the interaction between diverse data protection solutions and the validation process, abstracting away environment-specific complexities while maintaining comprehensive validation capabilities.
4Measurement precision
If skilled personnel are assigned to perform validation, then effective testing can be conducted, but labor costs and operational complexity increase
Solution Approach 1:
The validation system is designed to execute automatically without requiring skilled human operators. The computer system autonomously manages scenario execution, resource allocation, and result analysis, making the process accessible to users without specialized expertise.
Solution Approach 2:
The system provides automated feedback through generated validation reports that clearly indicate the status and results of validation scenarios, eliminating the need for human interpretation and reducing operational complexity while maintaining high testing effectiveness.
Data Source
AI summary
A solution for validating a set of data protection solutions is provided. A validation scenario can be defined, which can include data corresponding to a set of attributes for the validation scenario. The attributes can include a time frame for the validation scenario. The validation scenario also can include a set of backup images to be validated, each of which is generated using one of the set of data protection solutions. The set of backup images can be identified using the time frame. A set of resource requirements for implementing the validation scenario can be determined based on the set of backup images and the set of attributes for the validation scenario.