Network Power Optimization Controller for Dynamic Traffic
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Solution Overview
Problem
Networks are overprovisioned to handle peak utilization and failure scenarios, leading to increased power consumption due to unused components during steady-state conditions.
Innovation Solution
A network power optimization system that automatically enables or disables components based on real-time traffic statistics and predictive models, considering fate dependencies to minimize power usage while maintaining minimum utilization requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If networks are overprovisioned to handle peak utilization and failure scenarios, then network reliability and capacity are improved, but power consumption increases due to unused components during steady-state conditions
Solution Approach 1:
The patent implements dynamic provisioning by continuously monitoring traffic utilization metrics and automatically adjusting network component states (enabled/disabled) based on real-time conditions. This allows the network to transition from static overprovisioning to dynamic adaptation, maintaining reliability when needed while reducing power consumption during low-utilization periods.
Solution Approach 2:
The system changes the operational state parameter of network components from a fixed enabled state to a dynamically adjustable state between enabled and disabled. By modifying this parameter based on traffic patterns and failure scenario assessments, the system resolves the contradiction between maintaining reliability and reducing power consumption.
2Use of energy by stationary object
If components are disabled to reduce power consumption, then power utilization is optimized, but network capacity and reliability may be compromised during peak utilization or failure scenarios
Solution Approach 1:
The system performs preliminary assessment of failure scenarios and traffic patterns before disabling components. By pre-evaluating which components can be safely disabled without compromising network reliability or capacity during peak utilization, the system proactively optimizes power consumption while maintaining service levels.
Solution Approach 2:
The patent implements continuous monitoring of traffic utilization metrics and network performance as feedback mechanisms. This feedback loop allows the system to detect when traffic patterns change or when disabled components are needed, enabling dynamic re-adjustment of component states to maintain reliability while optimizing power utilization.
Data Source
AI summary
Methods and systems for automatically optimizing power utilization in a network. A method for automatically optimizing power utilization in a network includes obtaining, by a network controller from a database, systems provisioned in the network, wherein a system includes one or more actionable components and wherein the systems and associated one or more actionable components are actional elements, obtaining predictive traffic model statistics for a circuit under evaluation, wherein the circuit transits between at least two systems of the systems in the network, obtaining real-time traffic statistics for the circuit under evaluation; and disabling, by the network controller when the real-time traffic model statistics are within a threshold of the predictive traffic model statistics, one or more actional elements to optimize power utilization while factoring in fate sharing dependencies associated with the one or more actional elements and while maintaining minimum utilization requirements of the network.