Policy Server Energy Conservation Management for Network Devices
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Solution Overview
Problem
Network devices in idle states consume significant energy and manual energy conservation management is inefficient, leading to resource waste and high workforces required.
Innovation Solution
An energy conservation management method where a policy server selects a target scenario model based on network power consumption attributes and configures network devices with energy conservation policies, including rules for different time segments, to automate energy management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network devices constantly stay in a working state to ensure network availability, then network service reliability is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic energy conservation management by transitioning network devices between different working states (normal state, energy conservation state, and idle state) based on real-time network conditions. The policy server dynamically adjusts device states according to terminal access status, time segments, and network traffic patterns, resolving the contradiction between maintaining service availability and reducing energy consumption.
Solution Approach 2:
The system changes operational parameters of network devices by adjusting power consumption levels based on scenario attributes. Different energy conservation policies are applied by modifying device parameters such as power state, operational mode, and resource allocation, allowing the system to adapt between reliability and energy efficiency requirements.
2Loss of energy
If manual energy conservation management is performed on network devices, then energy saving measures can be implemented, but workforce consumption and management complexity increase
Solution Approach 1:
The patent implements automated energy conservation management where the policy server autonomously selects scenario models, determines energy conservation policies, and configures network devices without manual intervention. The system self-manages the entire energy conservation process by automatically monitoring network conditions, selecting appropriate policies, and applying configurations, thereby eliminating the need for manual workforce while reducing management complexity.
Solution Approach 2:
The policy server acts as an intermediary between network devices and energy conservation management. It receives network status information, selects appropriate scenario models, determines energy conservation policies, and automatically configures devices accordingly. This intermediary automates the management process, replacing manual operations and simplifying the overall system complexity.
3Ease of operation
If generic energy conservation policies are applied to all network devices, then implementation simplicity is improved, but energy conservation effectiveness decreases
Solution Approach 1:
The patent applies local quality by selecting specific scenario models that match the actual conditions of each target network. Instead of using a single generic policy for all devices, the system evaluates multiple scenario models against network attributes (such as terminal access patterns, time segments, and traffic characteristics) and applies the most appropriate scenario-specific policy, thereby improving energy conservation effectiveness while maintaining automated implementation.
Solution Approach 2:
The system dynamically selects energy conservation policies based on real-time network conditions and scenario attributes. The policy server continuously monitors network status and adapts the energy conservation approach by selecting different scenario models and policies appropriate to each situation, achieving both implementation simplicity through automation and effectiveness through scenario-specific customization.
Data Source
AI summary
An energy conservation management method includes selecting, by a policy server, a target scenario model from a plurality of scenario models based on a plurality of scenario attribute values of a target network, and configuring, by the policy server, a network device in the target network based on an energy conservation policy of the target scenario model. At least one of the plurality of scenario attribute values is an attribute value of a scenario attribute related to a network power consumption of the target network. The at least one of the plurality of scenario attribute values includes a plurality of attribute values of a corresponding scenario attribute, wherein each of the plurality of attribute values is collected at a different time from other attribute values of the plurality of attribute values that are collected at different times.