Backup Job Prioritization via Storage Tier and Redundancy Parameters
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Solution Overview
Problem
Backup administrators face challenges in accurately prioritizing hundreds of data backup jobs due to a disconnect between IT administrators and business management, leading to inefficient, inaccurate, and time-consuming prioritization processes, which can result in important jobs being relegated to lower priorities and increased risk of data loss.
Innovation Solution
A backup management tool that uses a multi-criteria decision method to prioritize data backup requests by assigning priority values to parameters such as storage tiers, multipath input/output redundancy, and job priority, enabling administrators to manage and organize backup jobs based on importance and criticality, and automatically re-prioritize based on defined criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If backup administrators manually prioritize backup jobs based on user requests, then user-perceived importance is considered, but the prioritization becomes inaccurate and time-consuming due to disconnect between IT administrators and business management
Solution Approach 1:
The system enables automated self-service prioritization by using backup job parameters (storage tier, redundancy level, multipath I/O configuration) to automatically determine priority rankings without requiring manual administrator intervention or user requests, thus eliminating the disconnect between IT administrators and business management while improving both accuracy and efficiency
Solution Approach 2:
The invention transforms the prioritization process by changing from subjective user-request-based parameters to objective technical parameters (storage tier, redundancy level, multipath I/O) that can be automatically evaluated and ranked, resulting in more accurate and time-efficient prioritization decisions
2Reliability
If administrators manually manage hundreds of backup jobs, then individual job attention is possible, but the process becomes inefficient and important jobs may be relegated to lower priorities
Solution Approach 1:
The system changes the management approach by using objective technical parameters (storage tier, redundancy level, multipath I/O) to automatically rank and prioritize backup jobs, ensuring that critical jobs are identified and executed first without manual intervention, thereby improving both reliability and productivity simultaneously
Solution Approach 2:
The invention replaces the mechanical manual sorting and prioritization process with an automated computational system that evaluates backup job parameters and generates priority rankings algorithmically, eliminating human error and inefficiency while ensuring consistent and reliable prioritization of hundreds of backup jobs
3Reliability
If backup jobs are prioritized without automated criteria, then administrative flexibility is maintained, but data loss risk increases due to improper prioritization of critical jobs
Solution Approach 1:
The invention introduces automated prioritization based on specific technical parameters (storage tier, redundancy level, multipath I/O configuration) that objectively indicate data criticality, replacing subjective administrative judgment with measurable criteria that improve data protection reliability while keeping the system implementation straightforward
Data Source
AI summary
A method for prioritizing data backup requests includes assigning priority values to a plurality of parameters, each parameter being associated with a plurality of data backup requests. The data backup requests can be sorted according to a primary parameter based on the priority values to prioritize the data backup requests. The data backup requests can also be sorted according to a secondary parameter when at least two of the data backup requests have a same primary parameter priority value.