Proactive Network Flow Rerouting via Environmental Health Metrics
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Solution Overview
Problem
Current routing protocols in computer networks lack the ability to proactively and adaptively reroute data away from faulty devices based on environmental health metrics, leading to inefficient failovers and network downtime due to inadequate consideration of local or peer environmental health factors.
Innovation Solution
Implementing a system where devices share diagnostic information, including environmental parameters, to proactively monitor and adaptively integrate end-to-end environmental health metrics into flow provisioning and forwarding logic, allowing for the rerouting of traffic to healthier paths before device failure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current routing protocols are used without environmental health metrics, then device complexity is reduced and ease of operation is maintained, but network reliability deteriorates due to inability to proactively detect and reroute from faulty devices
Solution Approach 1:
The patent implements preliminary action by collecting and monitoring environmental health metrics (temperature, humidity, power consumption) from network devices before failures occur. This proactive monitoring enables the routing system to detect deteriorating device conditions and reroute traffic in advance, preventing service disruptions while maintaining relatively simple routing logic through standardized metric collection protocols
Solution Approach 2:
The patent applies feedback by continuously gathering environmental health data from network devices and using this information to dynamically adjust routing decisions. The system establishes a closed-loop feedback mechanism where health metrics flow back to the routing protocol, enabling adaptive path selection that responds to real-time device conditions, thereby improving reliability through data-driven routing without requiring complex manual configuration
2Reliability
If environmental health metrics are integrated into routing decisions, then network reliability is improved through proactive rerouting, but information processing requirements and system complexity increase
Solution Approach 1:
The patent extracts only the essential environmental health metrics (temperature, humidity, power consumption) needed for routing decisions from the vast amount of available device data. By selectively collecting and processing only these critical parameters rather than all possible diagnostic information, the system improves reliability through proactive rerouting while minimizing information processing overhead and maintaining manageable system complexity
Solution Approach 2:
The patent transforms environmental health data into standardized routing metrics that can be directly integrated into existing routing protocols. By converting raw sensor data into normalized health scores or threshold-based indicators, the system enables reliable proactive rerouting decisions without requiring complex analysis of raw diagnostic information, thus reducing processing requirements while maintaining high network availability
3Reliability
If proactive rerouting based on environmental metrics is implemented, then network service continuity is improved, but response time for failure detection and rerouting increases system resource consumption
Solution Approach 1:
The patent employs lightweight, standardized environmental metric collection methods that consume minimal computational resources. By using simple sensor readings and basic threshold comparisons rather than complex analytical models, the system achieves reliable proactive rerouting with low energy consumption, enabling service continuity without significant computational overhead
Solution Approach 2:
The patent transforms continuous environmental data into discrete routing decisions through threshold-based mechanisms. By converting analog sensor readings into binary go/no-go routing decisions, the system maintains service continuity through proactive rerouting while minimizing computational energy consumption, as the parameter transformation requires simple comparisons rather than intensive processing
Data Source
AI summary
Systems, methods, and computer-readable media are disclosed for proactively and adaptively rerouting data to a healthier path through network, as part of flow provisioning, based on environmental variables associated with devices in the network. The present technology includes identifying a routing path for forwarding traffic flows in a network, receiving diagnostic data of a routing device on the routing path. The diagnostic data include one or more environmental parameters associated with internal state and surroundings of the routing device. Further, the present technology includes comparing the diagnostic data of the routing device with a predetermined threshold and modifying, prior to a failure of the routing device, the routing path to bypass the routing device for at least a portion of the traffic flows based on the comparison between the diagnostic data of the routing device and the predetermined threshold.