Transitioned Entity Manager for VM Backup Policy Tagging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In current computing environments, virtual machine (VM) managers lack the capability to efficiently identify and implement appropriate backup policies for transitioned VMs, leading to inefficient use of computing resources due to the absence of readily available information.
Innovation Solution
A method involving a transitioned entity manager that performs VM discovery to obtain secondary information, classifies the VM using tag mapping, and associates it with a backup policy based on identified tags, ensuring tailored backup operations for transitioned VMs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If VM discovery and classification is performed on transitioned VMs, then backup policy implementation accuracy is improved, but computing resource utilization deteriorates due to additional processing overhead
Solution Approach 1:
The system performs VM discovery and classification operations in advance, before backup operations are initiated. By pre-tagging transitioned VMs with classification information and pre-identifying appropriate backup policies, the system eliminates the need for real-time analysis during backup execution, thus improving accuracy without significantly impacting backup productivity
Solution Approach 2:
The patent introduces an intermediary classification layer that acts as a mediator between VM transition events and backup policy execution. This intermediary component analyzes VM characteristics, assigns tags, and determines backup policies in advance, allowing the backup system to simply execute pre-determined policies without performing complex analysis during actual backup operations
2Measurement precision
If detailed secondary information is collected from transitioned VMs, then classification accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the information collection and classification process into distinct modular components. VM discovery, information collection, classification analysis, and policy determination are separated into independent stages, each handling specific tasks. This segmentation reduces system complexity by making each component manageable and independently configurable while maintaining overall classification accuracy
3Reliability
If backup policies are dynamically assigned based on VM tags, then backup operation effectiveness is improved, but processing time increases
Solution Approach 1:
The system performs VM classification and backup policy assignment in advance, before actual backup operations begin. By pre-tagging VMs with classification metadata and pre-determining appropriate backup policies based on these tags, the system ensures effective backup operations while minimizing real-time processing delays to mere tag lookup operations
Data Source
AI summary
The method includes performing virtual machine (VM) discovery on a transitioned VM to obtain secondary information, classifying, using a tag mapping, the transitioned VM using at least the secondary information to identify a tag, associating the transitioned VM with a backup policy based on the tag, and sending the backup policy and the tag to a production host hosting the transitioned VM.