Cloud Readiness Evaluation Framework for Virtual Appliances
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Solution Overview
Problem
Existing methods for deploying virtual machines in multi-cloud environments lack automated mechanisms to ensure cloud readiness, leading to potential erroneous behavior during cloning and replication, as they fail to account for the specific technical and organizational requirements of heterogeneous cloud infrastructures.
Innovation Solution
A computer-implemented method and system that evaluates the cloud readiness of virtual machines by characterizing and individualizing them, using an evaluation framework to identify potential erroneous behavior through analysis of configuration files and properties, and creating multiple clones to compare changes, thereby determining if the virtual machine can be cloned without causing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated evaluation of cloud readiness is implemented, then productivity and reliability are improved, but device complexity increases
Solution Approach 1:
The evaluation framework is divided into distinct modules: a characterization module that extracts properties from virtual machine definitions, an evaluation module that assesses cloud readiness against criteria, and a reporting module that generates results. This segmentation allows each module to handle specific tasks independently, improving automation while managing complexity through modular design.
Solution Approach 2:
The patent introduces an intermediary evaluation framework that acts as a mediator between virtual machine definitions and cloud deployment targets. This framework translates VM properties into cloud readiness assessments, enabling automated evaluation without requiring direct complex interactions between deployment systems and evaluation logic.
2Loss of time
If manual evaluation of cloud readiness is performed, then measurement precision can be maintained, but loss of time increases
Solution Approach 1:
The characterization module performs preliminary extraction and organization of virtual machine properties before the actual evaluation occurs. By pre-processing and structuring VM definition data, the system prepares information in advance, reducing the time required for the evaluation phase while maintaining comprehensive assessment coverage.
Solution Approach 2:
The evaluation module implements feedback mechanisms where assessment results are systematically collected and used to refine evaluation criteria. This feedback loop enables the system to learn from previous evaluations, improving both speed and precision over time through automated adjustment of evaluation parameters based on accumulated data.
Data Source
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AI summary
The present invention concerns a computer-implemented method for analyzing the cloneability of a virtual machine within a cloud management platform, the method comprising automatically identifying (1000; 2000) one or more properties of the virtual machine (1) which have changed after the virtual machine (1) has been cloned by the cloud management platform, scanning (3010), by an evaluation agent software program, a file system of the virtual machine (1) to identify one or more configuration files of an application layer of the virtual machine (1), generating (3040), by the evaluation agent software program, a list of indications (4) comprising those properties of the virtual machine (1) which occur in the one or more identified configuration files, and evaluating (4000) the list of indications (4), comprising automatically determining that the virtual machine (1) can be cloned within the cloud management platform, if the list of indications (4) is empty.