Network Resource Prediction for Autonomous Energy Saving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current energy-saving methods for network devices require cumbersome interactions with external devices, leading to low energy-saving efficiency due to communication overhead and time consumption.
Innovation Solution
Network devices perform energy-saving operations based on their own historical service data to predict future resource needs, using an internal computing power demand prediction model, thereby reducing the need for external communication and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If network devices interact with external devices for energy-saving operations, then energy-saving control can be achieved, but communication overhead and time consumption increase, reducing energy-saving efficiency
Solution Approach 1:
The network device performs energy-saving operations autonomously by using its own historical service data to predict future resource needs. The device independently executes the prediction and energy-saving operation without requiring external device interactions, thereby eliminating communication overhead and time consumption while maintaining effective energy-saving control
Solution Approach 2:
The network device uses historical service data to predict future resource needs in advance. By performing the prediction and determining energy-saving operations beforehand based on anticipated resource requirements, the device can proactively optimize energy consumption without waiting for external instructions or real-time data exchange
2Loss of energy
If network devices interact with external devices for energy-saving operations, then energy-saving control can be achieved, but communication overhead increases, reducing energy-saving efficiency
Solution Approach 1:
The network device independently performs energy-saving operations by utilizing its own historical service data for prediction. This self-service approach eliminates the need for complex communication protocols, data exchange mechanisms, and coordination with external devices, thereby reducing communication overhead while achieving effective energy-saving control
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
Disclosed are an energy-saving method, a communication apparatus and a computer-readable storage medium. The energy-saving method comprises: acquiring service data of a network device within a first historical time period; according to the service data, predicting operation resources of the network device within a future time period; and performing an energy-saving operation on surplus resources in the network device within the future time period, wherein the surplus resources are resources in resources of the network device other than the operation resources.