Automated Simulation Plan Generation for Enterprise Network Disaster Recovery
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Solution Overview
Problem
Large enterprise networks face challenges in maintaining business continuity and disaster recovery due to their dynamic nature, making it difficult to effectively simulate and test adverse event scenarios, which can lead to network downtime.
Innovation Solution
A method is developed to generate a simulation plan based on network records, allowing for the automatic creation of simulation images and execution in a virtualized environment, enabling frequent and efficient testing of business continuity and disaster recovery processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual simulation processes are used for enterprise networks, then simulation accuracy can be maintained, but the time and effort required increases significantly
Solution Approach 1:
The patent creates virtual copies of the enterprise network environment, including virtual machines, network configurations, and application systems. These virtual copies serve as simulation images that can be deployed and executed without affecting the production environment, enabling accurate simulations to be performed efficiently through automated provisioning and management of these virtual representations.
Solution Approach 2:
The system automatically adjusts and manages parameters such as computing resource allocation, network configuration settings, and simulation environment specifications. By dynamically modifying these parameters based on the simulation requirements and available resources, the system maintains simulation accuracy while optimizing execution time and resource utilization.
2Reliability
If frequent simulations are performed to validate business continuity plans, then reliability of disaster recovery processes improves, but the complexity of managing simulations increases
Solution Approach 1:
The system implements automated self-service capabilities where the simulation platform automatically provisions virtual machines, configures network environments, executes simulation scenarios, and generates reports without requiring manual intervention for each simulation. This automation enables frequent simulations to be performed reliably while minimizing the management complexity burden on administrators.
Solution Approach 2:
The simulation platform is designed as a universal system that can handle multiple simulation scenarios, manage various types of virtual machines, and support different business continuity planning requirements through a single integrated interface. This multi-functional approach reduces complexity by consolidating diverse simulation management tasks into one standardized platform.
3Productivity
If automated simulation generation is implemented, then productivity of simulation processes increases, but the precision of customizing simulations for specific network configurations may decrease
Solution Approach 1:
The system employs dynamic configuration capabilities where simulation templates and parameters can be automatically adjusted based on the specific network environment being simulated. The automated generation process dynamically adapts to different network topologies, application systems, and resource configurations while maintaining high productivity through template-based approaches that can be customized as needed.
Data Source
AI summary
This disclosure describes techniques that include generating a simulation plan based on records that may be commonly kept when administering a computer network. This disclosure further describes techniques that include performing a simulation, based on the plan, to verity, test, and/or evaluate one or more systems, application systems, or applications that operate on the network. In one example, a method includes maintaining a storage system, generating a plan for simulating an application system, generating a simulation image, outputting the simulation image, and receiving simulation results.