Cloud VM Scheduling With Host Frequency Reduction for Power and Heat

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Solution Overview

Problem

Cloud computing centers face increased power consumption and heat dissipation during server attacks or extreme weather, leading to higher air conditioning demands and potential shutdown of non-critical businesses to maintain key operations, which degrades service levels.

Innovation Solution

A scheduling method and device that determine target nodes and virtual machines within a cluster, reducing host machine frequency based on a scheduling strategy to manage power consumption and heat dissipation without shutting down critical services.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the CPU load is increased to maintain key business operations, then the reliability of key systems is improved, but the power consumption and heat dissipation of the data center increase significantly

Engineering Contradiction:

Improvereliability of key systemsVSAvoidpower consumption of data center

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent segments the data center workloads into different priority levels (key businesses vs. non-key businesses) and applies different frequency management strategies to each segment. Critical workloads maintain high CPU frequency while non-critical workloads have their host machine frequencies reduced, allowing the system to maintain reliability for important operations while reducing overall power consumption.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent dynamically changes the CPU frequency parameter of host machines based on workload characteristics and priority. By adjusting the frequency parameter of virtual machines running non-key businesses, the system reduces power consumption while preserving the operational reliability of key business systems that require higher performance.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If the CPU load is increased to maintain key business operations, then the reliability of key systems is improved, but the heat dissipation of the data center increases, leading to higher air conditioning requirements

Engineering Contradiction:

Improvereliability of key systemsVSAvoidheat dissipation of data center

Core Design Contradiction:

ReliabilityVSTemperature

Solution Approach 1:

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent dynamically changes the CPU frequency parameter of host machines based on workload characteristics and priority. By adjusting the frequency parameter of virtual machines running non-key businesses, the system reduces power consumption and heat dissipation, thereby reducing air conditioning requirements while preserving the operational reliability of key business systems that require higher performance.

Inventive Principle:

Principle #35Parameter changes

3Use of energy by moving object

If non-critical businesses are shut down to ensure key business operations, then the power consumption is reduced, but the service level of non-critical businesses deteriorates

Engineering Contradiction:

Improvepower consumption of data centerVSAvoidservice level of non-critical businesses

Core Design Contradiction:

Use of energy by moving objectVSReliability

Solution Approach 1:

The patent implements dynamic frequency adjustment for virtual machines running non-critical businesses rather than completely shutting them down. The host machine frequency is reduced adaptively based on current conditions, allowing non-critical services to continue operating at reduced performance levels, thus maintaining some service level while achieving power consumption reduction.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent dynamically changes the CPU frequency parameter of host machines running non-key businesses. Instead of shutting down these services entirely, the system adjusts the frequency parameter to reduce power consumption while maintaining basic operational capability, thereby preserving a minimum service level for non-critical businesses.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250298675A1Scheduling method and device and electronic device

Publication Date: 2025.09.25 LENOVO (BEIJING) LTD

AI summary

A scheduling method is applied to cloud services. The scheduling includes determining at least one target node in a target cluster, the target cluster including at least two nodes, each node including a host machine and at least one virtual machine connected to the host machine; determining a scheduling strategy for the virtual machine in the at least one target node, the scheduling strategy being used to schedule the virtual machine connected to the host machine in the target node; and reducing a frequency of the host machine in the target node based on the scheduling strategy.