Cloud Instance Re-stacking Visualization for Security Policy Analysis
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Solution Overview
Problem
In cloud computing environments, there is a lack of effective mechanisms to identify and evaluate re-stacking policies, which are crucial for security and efficiency, due to overwhelming data volumes and the recognition of the significance of re-stacking policy analysis being underappreciated by account holders and providers.
Innovation Solution
A method and system for generating a re-stacking data visualization display that includes graphic representations of instances, showing launch and termination dates, and instance creation templates, allowing for the evaluation of re-stacking policies and identification of potential security issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If re-stacking policy analysis is implemented in cloud computing environments, then security and efficiency are improved, but data processing complexity and resource demands increase
Solution Approach 1:
The patent introduces an intermediary visualization system that mediates between raw instance data and policy analysts. This system processes and presents re-stacking policy information in an organized, visual format, reducing the complexity of direct data analysis while maintaining security monitoring capabilities
Solution Approach 2:
The patent creates visual copies and representations of instance data and re-stacking patterns. By generating visual models of policy implementations, the system enables analysis without requiring direct processing of overwhelming raw data volumes, thus reducing computational complexity
2Measurement precision
If comprehensive instance data is collected and analyzed, then re-stacking policy evaluation is improved, but data processing time and computational resources increase
Solution Approach 1:
The patent extracts and isolates specific re-stacking policy attributes from comprehensive instance data for focused analysis. By separating policy-relevant information from other instance data, the system achieves accurate policy evaluation without processing entire datasets, thereby reducing time loss
Solution Approach 2:
The patent segments instance data into organized categories and visual representations based on re-stacking policies. This segmentation allows analysts to examine specific policy aspects independently, improving evaluation accuracy while minimizing the time required to process and interpret data
3Reliability
If re-stacking policy monitoring is implemented, then security vulnerability response is improved, but system complexity and resource utilization increase
Solution Approach 1:
The patent introduces a visualization intermediary that simplifies the interface between security monitoring requirements and instance data. This mediator presents security-relevant re-stacking information in an accessible format, enabling rapid vulnerability response without proportionally increasing system complexity
Solution Approach 2:
The patent employs visual indicators such as color-coded representations to convey security status and re-stacking policy information. This visual encoding allows rapid identification of security vulnerabilities and policy compliance states, improving response time while adding minimal system complexity
Data Source
AI summary
A re-stacking data visualization display is generated that includes individual graphic representations of instances (virtual computing systems) used to provide a software application in a cloud computing environment. The re-stacking data visualization display shows a launch date for each instance, a termination date for the instance, an indication of the instance creation template used to generate that instance, and the base instance creation template release dates for each of the base instance creation templates. Consequently, the re-stacking policy associated with a software application offering can be readily determined by a simple examination of the re-stacking data visualization display. As a result, any potential security issues and vulnerabilities can be readily identified and addressed.