Software Distribution Policy Framework for Network Deployment
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Solution Overview
Problem
Current methods for software distribution in computer systems are inefficient, often requiring substantial time and risking errors that can disrupt productivity, as they lack flexible and adaptive strategies for managing software updates across networks.
Innovation Solution
Implementing software distribution policies that allow for push and pull logic, staggered distribution, and multicasting, enabling administrators to create customizable policies for managing software deployment across computer systems, thereby simplifying the process and reducing network impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If software is manually installed on computer systems, then installation accuracy can be ensured, but installation time and labor costs increase substantially
Solution Approach 1:
The patent uses disk imaging technology to create a copy of the desired software state and replicate it across multiple computer systems. This copying approach allows rapid deployment of software configurations without manual installation, thereby reducing installation time while maintaining consistency and accuracy across systems.
Solution Approach 2:
The system prepares software installation packages and imaging data in advance before actual deployment. By pre-configuring software images and preparing distribution packages beforehand, the system enables rapid installation when needed, reducing on-site installation time while ensuring accuracy through pre-tested configurations.
2Productivity
If software is rapidly deployed across computer networks, then productivity improvements are achieved, but errors and system disruptions increase
Solution Approach 1:
The patent implements dynamic software distribution policies that can adapt deployment speed and methods based on system conditions. The system can switch between different distribution strategies (such as staged rollouts versus simultaneous deployment) and adjust parameters like compression levels and distribution channels to balance speed and reliability according to real-time requirements.
Solution Approach 2:
The system performs error detection and validation checks before software deployment, and includes rollback capabilities prepared in advance. By cushioning against potential errors through pre-deployment validation and having recovery mechanisms ready, the system enables rapid deployment while minimizing the risk and impact of installation errors.
3Adaptability or versatility
If software distribution policies are made highly customizable, then adaptability to different business needs improves, but system complexity increases
Solution Approach 1:
The patent implements a universal policy framework where a single software distribution system can handle multiple distribution scenarios and requirements through configurable policies. The same core infrastructure supports various distribution methods (push, pull, staged, simultaneous), compression techniques, and target system selections, reducing overall system complexity while maintaining high adaptability through policy configuration rather than structural complexity.
4Manufacturing precision
If comprehensive software distribution control is implemented, then deployment accuracy improves, but network bandwidth consumption increases
Solution Approach 1:
The system dynamically changes parameters such as compression levels, distribution channel selection, and image segmentation based on network conditions and deployment requirements. By adjusting these parameters, the system can maintain deployment accuracy through appropriate validation and verification while optimizing network bandwidth consumption through techniques like compression and selective distribution.
Solution Approach 2:
The patent divides software distribution into segmented images or packages that can be distributed selectively and efficiently. This segmentation allows the system to transmit only necessary portions of software data, validate them independently for accuracy, and reduce overall network bandwidth consumption compared to transmitting complete uncompressed software sets.
Data Source
AI summary
A method for using a policy for software distribution to computer systems on a computer network is disclosed. A first policy for software distribution is created. Software is provided on a first computer system to be distributed to a second computer system. The first policy to be used in distributing the software is identified. The software to be distributed is identified. The software to computer systems or groups is distributed.


