SIP Conferencing Link Power State Management
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Solution Overview
Problem
Current network power management systems in SIP conferencing fail to optimize energy efficiency, leading to excessive power consumption as all network links remain in a full power state even when underutilized, resulting in wasted electrical power and increased carbon footprint.
Innovation Solution
A method and system that estimate data transmission requirements for SIP conferencing by analyzing conference data, such as participant numbers and network connections, to proactively set only necessary links to a high power state and redundant or underutilized links to a low power state, using a power manager application to instruct network apparatus to adjust power states accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all network links are kept in a full power state to ensure network availability, then network reliability is improved, but energy consumption increases
Solution Approach 1:
The patent applies dynamics by making the power state of network links adjustable and changeable based on real-time conditions. The system dynamically transitions links between full power state and low power state according to traffic requirements, ensuring network reliability when needed while reducing energy consumption during low-traffic periods.
Solution Approach 2:
The patent changes the power state parameter of network links from a static full power state to a dynamic state that can switch between full power and low power. This parameter change allows the system to optimize the balance between network availability and energy consumption by adjusting the power state according to actual traffic demands.
2Use of energy by moving object
If network links are set to low power state to save energy, then energy consumption is reduced, but network performance may deteriorate
Solution Approach 1:
The patent applies preliminary action by predicting future traffic patterns and proactively adjusting link power states before traffic demands occur. The system analyzes historical and current traffic data to forecast future requirements, then pre-configures link power states to match anticipated demand, ensuring network performance is maintained when traffic increases while saving energy during low-traffic periods.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor actual traffic patterns and compare them with predictions. This feedback loop allows the system to refine its traffic prediction algorithms and adjust link power states more accurately, ensuring that network performance requirements are met while maximizing energy savings. The system learns from actual traffic behavior to improve future predictions and power state management.
Data Source
AI summary
A method includes determining a first subset of a plurality of links to be set to a first power state and a second subset of the plurality of links to be set to a second power state, different from the first power state, based on estimated data transmission. The method also includes instructing at least one network apparatus to set the first subset of the plurality of links to the first power state and to set the second subset of the plurality of links to the second power state different from the first power state.