Enterprise Network Design Automation via Layer-Wise Requirement Analysis
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Solution Overview
Problem
Network engineers face challenges in designing and modifying enterprise networks to keep pace with rapid technological advancements, requiring a systematic methodology to ensure quick data access, minimize delays, and maintain security, bandwidth, scalability, and reliability.
Innovation Solution
A system comprising a processor and memory that executes modules for selecting design types, collecting and analyzing user requirements, and generating network designs based on layer-wise or zone-wise requirements, using configurable design parameters to determine the distribution and placement of network devices and modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network engineers manually design and modify enterprise networks to keep pace with rapid technological advancements, then the network can be customized to meet specific requirements, but the design process becomes time-consuming and labor-intensive
Solution Approach 1:
The system enables automatic network design through self-service automation. The network design generator automatically collects requirements, selects appropriate design types, configures parameters, and generates optimized network designs without requiring manual intervention from network engineers, thus resolving the contradiction between customization and time consumption
Solution Approach 2:
The system changes the state of network design from manual parameter configuration to automatic parameter optimization. By implementing automated algorithms that dynamically adjust network parameters based on collected requirements and design types, the system achieves both high customization and rapid design generation
2Adaptability or versatility
If network engineers manually modify existing network designs to incorporate new changes, then the network can be updated with new technologies, but the process requires significant manual effort and is time-consuming
Solution Approach 1:
The system performs preliminary actions by maintaining a library of pre-configured design types and templates. When updating existing networks, the system can select from predefined design patterns and automatically apply modifications, eliminating the need for manual reconfiguration and making network updates straightforward and efficient
Solution Approach 2:
The network design generator is designed as a universal system that can handle multiple design types (new designs, modifications, optimizations) through a single platform. The system accommodates various network scenarios using configurable parameters and design types, making it versatile for both initial design and subsequent modifications
3Productivity
If product vendors continuously introduce new protocols and technologies to meet increasing data access demands, then network performance and capabilities improve, but the challenge for network engineers to keep pace with accelerating changes increases
Solution Approach 1:
The system implements feedback mechanisms where network performance data and requirements are continuously collected, analyzed, and used to automatically adjust and optimize network designs. This closed-loop approach enables the system to adapt to new technologies and protocols automatically, reducing the complexity burden on network engineers while maintaining high productivity
Data Source
AI summary
System(s) and method(s) for designing a network of one or more entities in an enterprise is disclosed. A design type along with configurable design parameters is selected from a list of designs. Requirements associated with design of entities are collected from the users. The requirements and configurable design parameters are analyzed to obtain analysis results. Based on at least one of a layer-wise requirement and distribution or a zone-wise requirement and distribution, network devices and modules associated with the entities are determined. One or more designs are generated for the network of entities based on the layer-wise requirement and distribution or the zone-wise requirement and distribution of network devices and modules associated with the entities in the enterprise.