Network Device Power Management via Component State Forecasting
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Solution Overview
Problem
Network devices consume power even when underutilized, leading to inefficiency and unnecessary energy usage.
Innovation Solution
A monitoring system analyzes historical utilization data to forecast network device usage and selectively enables or disables non-forwarding components based on a power management plan, optimizing power consumption without disrupting traffic flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network device components remain enabled to ensure availability, then reliability is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic power management by transitioning network device components between enabled and disabled states based on real-time utilization monitoring. The system adjusts component states dynamically rather than maintaining static enabled/disabled configurations, allowing the network device to adapt its power consumption to actual traffic conditions while maintaining availability when needed.
Solution Approach 2:
The system changes the operational state parameter of network components based on utilization thresholds. When utilization falls below a threshold, components are transitioned to a disabled low-power state; when utilization exceeds the threshold, components are re-enabled. This parameter change approach allows the system to optimize power consumption while maintaining reliability through threshold-based state transitions.
2Loss of energy
If components are disabled to reduce power consumption, then energy efficiency is improved, but service continuity may be disrupted
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors network utilization and adjusts component states accordingly. When utilization exceeds a threshold, the system receives feedback that traffic is increasing and re-enables components to maintain service continuity. This closed-loop feedback ensures that power management decisions do not disrupt service while achieving energy efficiency during low-utilization periods.
Solution Approach 2:
The system performs preliminary actions by enabling components before traffic spikes occur and disabling them after traffic subsides. The threshold-based approach allows the system to anticipate utilization patterns and take preliminary power management actions that maintain service continuity while optimizing energy efficiency. Components are re-enabled in advance when thresholds are approached, preventing service disruption.
Data Source
AI summary
In some implementations, a system may identify historical utilization data associated with a network device. The system may determine, based on the historical utilization data, a utilization forecast for the network device. The system may determine, based on the utilization forecast, a power management plan for the network device. The system may selectively control, based on the power management plan, enablement and disablement of one or more non-forwarding components of the network device.


