Edge Node Frequency Control for Cloud Gaming Workload Shifts
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Solution Overview
Problem
Cloud gaming systems face inefficiencies due to excessive power consumption and resource waste in edge computing nodes when the number of online game objects fluctuates, leading to suboptimal operating frequencies that fail to meet demand or result in unnecessary energy expenditure.
Innovation Solution
A method for dynamically adjusting the operating frequency of edge computing nodes by predicting expected demand computing power resources based on current and historical usage patterns, including newly added, offline, and scenario-switching service objects, ensuring optimal resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the operating frequency of edge computing nodes is set according to the largest quantity of online game objects, then the computing power is sufficient to meet peak demand, but the power consumption is excessively large during off-peak periods
Solution Approach 1:
The patent implements dynamic frequency adjustment of edge computing nodes based on real-time monitoring of online game object quantities. The operating frequency is continuously adapted to match current demand levels rather than remaining fixed at peak capacity, thereby resolving the contradiction between maintaining sufficient computing power and reducing excessive power consumption during off-peak periods
Solution Approach 2:
The patent changes the operating frequency parameter of edge computing nodes according to the quantity of online game objects. By adjusting this key parameter dynamically based on actual demand, the system achieves optimal balance between computing power sufficiency and power consumption efficiency
2Use of energy by moving object
If the operating frequency of edge computing nodes is reduced during off-peak periods, then the power consumption is reduced, but the computing power may be insufficient when demand increases
Solution Approach 1:
The patent implements preliminary frequency adjustment by predicting future demand trends based on historical data and current patterns. When an increase in online game objects is anticipated, the operating frequency is proactively increased in advance, ensuring computing power sufficiency is maintained while avoiding excessive power consumption during transitional periods
Solution Approach 2:
The patent establishes a feedback mechanism that continuously monitors the quantity of online game objects and adjusts the operating frequency accordingly. This closed-loop control ensures that computing power remains sufficient to meet actual demand while optimizing power consumption by avoiding both over-provisioning and under-provisioning
Data Source
AI summary
A method for allocating edge computing resources is performed by a computer device, the method including: obtaining computing power resource information occupied by a target application at an edge computing node and a current operating frequency of the edge computing node during operation of the target application; determining expected demand computing power resource information of the target application for the edge computing node within a target time period according to a number of newly added service objects, offline service objects, and scenario switching service objects during the target time period; and determining a target operating frequency of the edge computing node within the target time period according to the current operating frequency, the occupied computing power resource information, and the expected demand computing power resource information.