Virtual Machine Image Conversion Tool for Cross-Environment Interoperability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing virtualization technologies face interoperability issues due to data formats and interfaces specific to each environment, hindering the sharing and reuse of executable software images across different virtualization environments.
Innovation Solution
An image conversion tool is developed to interact with multiple source virtualization environments, extract executable software images, modify them as needed, and convert them for execution in distinct destination environments, using a GUI for user configuration and supporting various data formats and interfaces through plug-in modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtualization environments use data formats and interfaces specific to each environment, then each environment can operate independently with optimized performance, but interoperability between virtualization environments is inhibited
Solution Approach 1:
The patent implements a conversion tool that acts as an intermediary between different virtualization environments. This tool extracts virtual machine images from source environments in their native formats, converts them to a standardized intermediate format, and then transforms them into formats compatible with destination environments. This mediator approach enables interoperability while allowing each environment to maintain its own specific data formats and interfaces.
Solution Approach 2:
The conversion tool dynamically changes parameters including data formats, interface protocols, and configuration settings when transforming virtual machine images between different virtualization environments. By adjusting these parameters based on the source and destination environment requirements, the tool enables seamless interoperability without compromising the optimized performance characteristics of each environment.
2Adaptability or versatility
If virtual machine images are extracted and converted between different virtualization environments, then interoperability is enhanced, but the complexity of the conversion process increases
Solution Approach 1:
The conversion tool is segmented into distinct functional modules: an extraction module that interfaces with source virtualization environments, a conversion module that transforms data formats and configurations, and an output module that delivers images to destination environments. This segmentation isolates complexity within each module while presenting simplified interfaces to users and external systems.
Solution Approach 2:
The conversion tool is designed as a universal platform capable of handling multiple virtualization environments through standardized interfaces and configurable conversion rules. By implementing a unified architecture that supports various source and destination environments through a common conversion framework, the tool manages complexity while providing broad interoperability capabilities.
3Reliability
If virtual machine images are manually recreated for different virtualization environments, then environment-specific optimization is achieved, but time and effort are wasted
Solution Approach 1:
The conversion tool performs preliminary extraction of virtual machine images from source environments and prepares them in a standardized format before destination-specific customization is required. This preliminary action captures the base virtual machine configuration once, which can then be efficiently converted to multiple destination environments, eliminating the need to recreate images manually for each environment.
Solution Approach 2:
Instead of manually recreating virtual machine images for each destination environment, the tool creates accurate copies of the source virtual machine image and applies automated transformations to adapt these copies to destination environment requirements. This copying approach preserves the original work while enabling rapid deployment across multiple environments.
Data Source
AI summary
Techniques are described for facilitating sharing and reuse of executable software images between multiple execution environments. In at least some situations, the executable software images are virtual machine images (e.g., images that are bootable or otherwise loadable by a virtual machine in a particular virtualization environment, and that each include operating system software and/or software for one or more application programs, optionally along with one or more hard disks or other representations of stored data). The described techniques may include use of an image conversion tool that is configured to support interactions with multiple distinct types of source execution environments to extract executable software images from those environments, and to modify extracted software images for execution in one or more distinct types of destination execution environments, optionally as directed by one or more users via a GUI provided by the image conversion tool.