Software Distribution via Component Differentiation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems and methods fail to reliably update software across different deployment environments, often resulting in corrupted or incomplete updates due to environmental factors such as disconnected networks, leading to inefficiencies and user frustration.
Innovation Solution
The method involves recursively disassembling software deployment packages into components, generating component differentiations between versions, and creating a distribution package based on these differentiations and the package structure, allowing for accurate and efficient deployment of updates across various environments, even in disconnected settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complete software deployment packages are distributed to all deployment environments, then software updates can be deployed, but network bandwidth is consumed and transmission time increases
Solution Approach 1:
The software deployment package is segmented into individual components, and only the specific components that differ between versions are identified and distributed. This allows partial updates rather than complete package redistribution, reducing network bandwidth consumption while maintaining deployment reliability.
Solution Approach 2:
The system extracts and identifies only the specific components that need to be updated by comparing the current version with the previous version. By taking out only the necessary differential components rather than distributing the entire package, network bandwidth is conserved while ensuring reliable updates.
2Reliability
If complete software deployment packages are distributed, then updates can be deployed, but transmission time increases
Solution Approach 1:
The deployment package is divided into discrete components, enabling the system to transmit only the specific components that require updates. This segmentation reduces the total data volume that needs transmission, thereby decreasing transmission time while maintaining complete and reliable update deployment.
Solution Approach 2:
The system performs partial action by transmitting only the necessary differential components rather than the complete package. This partial transmission approach reduces transmission time significantly while still achieving the complete update deployment goal through component-level precision.
3Ease of operation
If software is distributed without component-level analysis, then distribution is simpler, but missing or corrupted components cannot be identified
Solution Approach 1:
The system implements feedback mechanisms by comparing the current deployment package components with the previous version components. This comparison process provides feedback information about which components are missing or corrupted, enabling the system to identify and address issues while maintaining operational simplicity through automated analysis.
Solution Approach 2:
The manual or simple distribution approach is replaced with an automated component-level analysis system. This substitution introduces intelligent comparison and identification capabilities that detect missing or corrupted components, enhancing reliability while the automated nature maintains ease of operation.
4Reliability
If large software packages are transmitted, then complete updates are provided, but network usage increases
Solution Approach 1:
The system extracts and transmits only the specific components that differ between software versions by comparing the current package with the previous version. This extraction of differential components ensures complete updates are provided while minimizing network usage by excluding redundant identical components.
Solution Approach 2:
The system identifies and discards components that remain unchanged between versions, recovering network bandwidth by not transmitting these redundant elements. Only the necessary differential components are transmitted, maintaining update completeness while reducing overall network usage.
Data Source
AI summary
Systems and methods for software distribution are disclosed. For example, the method includes: receiving a first deployment package for a first version of software; recursively disassembling the first deployment package into a plurality of components; accessing a set of second components of a second deployment package for a second version of the software; generating one or more component differentiations based at least in part upon the plurality of components associated with the first deployment package and the set of second components of the second deployment package, a first component differentiation of the one or more component differentiations being a difference between a first component associated with the first deployment package and a second component in the disassembled components of the second deployment package; and generating a distribution package based on the one or more component differentiations and a package structure associated with a component structure of the first deployment package.