Network Node Power State Management via Green Controller
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Solution Overview
Problem
Current network power saving methods are inefficient as they do not account for actual network service requirements and component utilization, leading to uncoordinated power state changes that can cause issues like packet loss and increased transmission times, and are limited in their ability to optimize overall power consumption across network nodes and paths.
Innovation Solution
A method that uses a green controller to dynamically adjust the power state of network nodes based on service level specifications and actual resource utilization, coordinated through a path computation engine and self-organizing network module, allowing for network-wide power management without requiring changes to existing resource reservation protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If existing power saving methods are used to reduce power consumption in network nodes, then energy savings are achieved, but coordination between nodes is lacking causing packet loss and increased transmission times
Solution Approach 1:
The patent implements a feedback mechanism where the path computation engine continuously monitors network state and service requirements, then adjusts power states of network nodes accordingly. This coordinated feedback loop ensures that power saving actions do not compromise network reliability, resolving the contradiction between energy savings and service reliability.
Solution Approach 2:
The path computation engine acts as an intermediary that coordinates power state changes across multiple network nodes. Instead of individual nodes making independent power decisions, the intermediary engine ensures centralized coordination, preventing packet loss and maintaining transmission timing while achieving power savings.
2Loss of energy
If power states are adjusted without considering service requirements, then power consumption is reduced, but network service quality deteriorates
Solution Approach 1:
The patent implements dynamic power state adjustment where the path computation engine continuously adapts power states based on current network conditions and service level specifications. This dynamic approach allows the system to optimize power consumption while maintaining appropriate service quality, rather than using static power saving modes.
Solution Approach 2:
The system changes operational parameters (power states) of network nodes based on service requirements. The path computation engine evaluates service level specifications and adjusts power state parameters accordingly, ensuring that productivity and service quality are maintained while achieving power savings.
3Device complexity
If coarse-grained power state updates are used, then implementation is simpler, but power optimization precision is insufficient
Solution Approach 1:
The patent segments the power management approach by separating the coordination function (path computation engine) from the execution function (individual network nodes). This segmentation allows fine-grained power state control at each node while maintaining overall system simplicity through centralized coordination, resolving the contradiction between implementation complexity and optimization precision.
Data Source
AI summary
A method that reduces the power consumption on network nodes by taking into account the services that need to be supported by the network and the power saving capabilities of the nodes.