5G VIP Auditing With Distributed Edge IP Conflict Detection
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Solution Overview
Problem
IP address conflicts in 5G networks can lead to disruptions in data communication, impacting network performance, and there is a need for an improved infrastructure for Virtual Internet Protocol (VIP) Auditing to address these issues.
Innovation Solution
A distributed cloud computing environment with edge computing is implemented, where VIP Auditing is performed near core network data centers, utilizing third-party data centers to distribute processing tasks and ensure redundancy, reducing bandwidth usage and latency, and employing a master application to manage IP address conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If centralized VIP auditing is performed at core network data centers, then auditing control is simplified, but bandwidth usage increases and latency increases
Solution Approach 1:
The patent segments the centralized VIP auditing function into distributed edge computing nodes deployed at multiple geographic locations. Each edge node performs VIP auditing locally for its served regions, eliminating the need to aggregate all audit traffic through a single centralized data center, thereby reducing bandwidth consumption and latency while maintaining distributed control complexity.
2Device complexity
If centralized VIP auditing is performed at core network data centers, then auditing control is simplified, but latency increases
Solution Approach 1:
The patent segments the centralized VIP auditing function into distributed edge computing nodes deployed at multiple geographic locations. Each edge node performs VIP auditing locally for its served regions, eliminating the need to aggregate all audit traffic through a single centralized data center, thereby reducing bandwidth consumption and latency while maintaining distributed control complexity.
3Loss of energy
If distributed cloud computing with edge computing is implemented for VIP auditing, then bandwidth usage is reduced and latency is reduced, but device complexity increases
Solution Approach 1:
The patent implements a universal master application that can be deployed at multiple edge computing nodes across different geographic locations. This master application performs multiple functions including VIP auditing, conflict detection, and resolution coordination, allowing a single codebase to handle diverse auditing scenarios across the distributed network without requiring node-specific custom implementations.
Solution Approach 2:
The patent implements feedback mechanisms where edge computing nodes report VIP auditing results and conflict status back to the master application. This feedback loop enables the master application to coordinate IP address conflicts across distributed nodes, manage auditing operations centrally while executing locally, and maintain system coherence without requiring complex peer-to-peer negotiation protocols.
4Reliability
If distributed cloud computing with edge computing is implemented for VIP auditing, then network communication disruptions are minimized, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where edge computing nodes report VIP auditing results and conflict status back to the master application. This feedback loop enables the master application to coordinate IP address conflicts across distributed nodes, manage auditing operations centrally while executing locally, and maintain system coherence without requiring complex peer-to-peer negotiation protocols.
Solution Approach 2:
The master application serves as an intermediary between distributed edge computing nodes, coordinating IP address conflict resolution and auditing operations. Rather than requiring direct complex interactions between autonomous edge nodes, the master application mediates communication, simplifying the overall system architecture while maintaining distributed execution capabilities.
Data Source
AI summary
A system having a remote data center that broadcasts, to a various data centers, a cluster of software and a start instruction. The start instruction commands each of the various data centers to execute a master application when a processor in each of the various data centers extracts the master application from the cluster of software. The processor can extract an active pod and a standby pod from the cluster of software and determine whether or not an IP address conflict exists between the IP address of the active pod and the IP address of the standby pod.