Network Address Mapping via IoT Device Self-Service
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Solution Overview
Problem
As the Internet grows, managing network addresses and complex network topologies for network-enabled devices, including IoT devices, becomes increasingly difficult due to technologies like NAT, VPN, DMVPN, and DVN, requiring accurate real-time configuration and tracking of publicly accessible addresses and service ports across various devices and manufacturers, which is error-prone and labor-intensive.
Innovation Solution
A system and method that uses a hierarchy of objects with specific properties to systematically map and manage network addresses and service ports, allowing for real-time configuration and tracking of network devices, routers, modems, VPNs, and NATs, by analyzing device types and relationships to calculate and cache public IP addresses and service ports, reducing the need for manual intervention and maintaining accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking of network addresses and topologies is used, then flexibility in network configuration is maintained, but accuracy and real-time updates deteriorate due to human error and labor intensity
Solution Approach 1:
The system enables automatic self-service through the network device itself. The network device autonomously generates and updates topology information, publishes it to the server, and maintains its own address mappings without requiring manual intervention. This self-service mechanism resolves the contradiction by achieving high accuracy through automation while managing complexity through decentralized intelligence.
Solution Approach 2:
The system implements continuous feedback loops where network devices publish topology changes to the server, which then updates the address mapping database and notifies relevant parties. This real-time feedback mechanism ensures accuracy by automatically reflecting current network state, eliminating human error while maintaining manageable complexity through structured information flow.
2Productivity
If automated systems are implemented to track network addresses, then accuracy and real-time updates improve, but system complexity increases
Solution Approach 1:
The system segments the address mapping functionality into distinct modular components: network devices that generate topology data, a server that receives and processes publications, a database that stores address mappings, and notification mechanisms that propagate changes. This segmentation enables real-time productivity through automated workflows while managing complexity by distributing functions across independent, standardized modules.
Solution Approach 2:
The system achieves universality by creating a multi-functional platform that simultaneously performs topology discovery, address mapping, change detection, and notification distribution. This universal system handles diverse network configurations and device types through standardized protocols, improving productivity across the entire network infrastructure while containing complexity through reusable, general-purpose components.
3Reliability
If comprehensive network topology tracking is implemented, then real-time accuracy improves, but the amount of information to be managed increases
Solution Approach 1:
The system extracts only the essential topology information needed for address mapping from the comprehensive network state. Network devices publish specific attributes (IP addresses, port mappings, hierarchical relationships) rather than complete device states. This extraction approach maintains reliability by capturing all necessary mapping data while reducing the volume of information that must be stored, processed, and transmitted.
Solution Approach 2:
The system discards redundant and transient topology information that does not impact address mapping, while recovering and retaining only the persistent, mapping-critical data. Change detection mechanisms identify and discard irrelevant fluctuations, focusing resources on maintaining accurate mappings for stable network elements. This selective discarding and recovering reduces data volume while preserving reliability for essential address resolution.
Data Source
AI summary
Exemplary embodiments include a system and method to systematically map complex network topologies for providing real-time network address and service port information for each network or Internet of Things (IoT) device in the system. Furthermore, various class objects also provide a real-time configuration capability of devices, routers, modems, VPNs, and NATs in the system. Accordingly, the system can be managed with minimal user involvement while maintaining ongoing accuracy.