Adaptive Resilient Network Communication via AI Path Switching
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Solution Overview
Problem
Existing network resilience solutions are costly, resource-intensive, and lack scalability, with centralized approaches being prone to single points of failure and requiring significant computing resources, while active-passive redundancy can lead to session interruptions due to initialization delays.
Innovation Solution
The implementation of proactive multi-network connectivity monitored and controlled by AI or ML models, utilizing optimally distributed micro-services and protocol enhancements to provide end-to-end network resiliency, enabling autonomous adaptation to failures and load imbalances, and minimizing packet losses through optimized transport level protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized approaches are used for network resilience, then network recovery capability is improved, but device complexity and resource consumption increase
Solution Approach 1:
The patent segments network resilience functionality into distributed micro-services deployed across multiple devices rather than using a centralized approach. Each device runs independent micro-service instances that can autonomously detect failures and switch to alternative network paths, eliminating the need for complex centralized control while maintaining network recovery capability.
Solution Approach 2:
The patent implements self-service mechanisms where network devices autonomously monitor their own connectivity status and automatically switch to alternative paths when failures are detected. The micro-services continuously assess network conditions and trigger failover actions without external intervention, reducing device complexity while preserving reliability.
2Reliability
If active-passive redundancy is implemented, then network resilience is improved, but session interruptions occur due to initialization delays
Solution Approach 1:
The patent employs preliminary action by pre-establishing multiple active network paths and continuously monitoring them before failures occur. When a failure is detected, the system can immediately switch to a pre-vetted alternative path without requiring initialization delays, eliminating session interruptions while maintaining network resilience.
Solution Approach 2:
The patent implements dynamic path selection where the system continuously monitors network conditions and can switch between multiple active paths in real-time. This dynamic approach allows the system to adapt to changing network conditions and maintain continuous connectivity, preventing session interruptions that occur with static active-passive redundancy.
3Reliability
If duplicate hardware or software is used for redundancy, then network reliability is improved, but resource usage increases
Solution Approach 1:
The patent applies universality by designing micro-services that can function across multiple network paths and devices. The same micro-service instances can be deployed on different devices and can handle multiple network connections, eliminating the need for dedicated duplicate hardware or software while maintaining network reliability through distributed redundancy.
Data Source
AI summary
Disclosed are systems and methods for adaptive resilient network communication. A system may monitor network traffic on multiple pathways between user equipment and an application or a service at a network destination, gather network telemetry data from the monitored network traffic, input the network telemetry data into a trained artificial intelligence model, and classify the network telemetry data using the model. The system may further determine, using the model, an anomaly condition in at least a portion of the multiple pathways, and in response to the determination of an anomaly, select a mitigation technique for the at least a portion of the multiple pathways.