Agentless Virtual Disk Metadata Indexing via Snapshot Parsing
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Solution Overview
Problem
The increasing volume of data for backup, archiving, and disaster recovery poses challenges in efficiently searching and retrieving metadata, particularly due to the painstaking process of navigating and indexing vast amounts of virtual machine and virtual disk data.
Innovation Solution
The implementation of agentless virtual disk metadata indexing, which involves parsing data within virtual machines and snapshots to extract filesystem metadata without mounting and traversing, and encoding it into a schema for efficient indexing and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional mounting and traversing methods are used to extract metadata from virtual machines, then complete metadata extraction is achieved, but the process becomes time-consuming and complex
Solution Approach 1:
The patent extracts only the necessary filesystem metadata information from virtual disk snapshots without performing full mounting and traversing operations. By selectively extracting metadata using parsing techniques that understand virtual disk formats, the system obtains required information while avoiding the time-consuming process of mounting entire virtual filesystems.
Solution Approach 2:
The system performs metadata extraction during the backup process itself, rather than as a separate post-processing step. By integrating metadata extraction with the backup operation and using parallel processing, the system prepares indexed metadata in advance, eliminating the need for separate indexing operations later.
2Loss of information
If agents are installed on virtual machines for metadata collection, then detailed metadata can be retrieved, but deployment and maintenance complexity increases
Solution Approach 1:
The system enables virtual machines to be their own backup sources by reading metadata directly from virtual disk snapshots without requiring guest agents. The backup solution uses the existing virtualization infrastructure and snapshot capabilities to extract metadata, making the system self-sufficient and eliminating agent installation, updates, and maintenance requirements.
Solution Approach 2:
The patent introduces a metadata extraction service that acts as an intermediary between the virtual disk snapshots and the backup system. This service parses virtual disk formats and extracts metadata without requiring direct access to the guest operating system, thereby eliminating the need for agents while maintaining metadata retrieval capability.
3Difficulty of detecting and measuring
If vast amounts of virtual disk data are indexed using traditional methods, then comprehensive search capability is achieved, but processing complexity and time increase
Solution Approach 1:
The patent segments the metadata extraction and indexing process into distinct components: parsing virtual disk snapshots to extract filesystem metadata, encoding the extracted information into a standardized schema, and indexing the structured data. This segmentation allows each component to be optimized independently and enables parallel processing of multiple virtual disks simultaneously.
Solution Approach 2:
The system changes the format and structure of metadata by encoding extracted information into a standardized schema with defined fields and data types. This parameter transformation converts unstructured or semi-structured virtual filesystem metadata into a consistent, machine-readable format that is optimized for indexing and search operations, reducing processing complexity.
Data Source
AI summary
A method and system for implementing agentless virtual disk metadata indexing. Specifically, the disclosed method and system entails the parsing of data within a virtual machine and/or virtual disk snapshot to extract filesystem metadata information during data backup operations. Extraction of the filesystem metadata information is performed based on an understanding of a filesystem layout for a format in which the snapshot is defined, rather than based on the mounting and traversing of the snapshot. Furthermore, the extracted filesystem metadata information is encoded in a schema that may facilitate indexing of the information for use in a metadata searching and/or retrieval service.