1. Optimize your application: Review and optimize your application code to make sure there are no unnecessary computations or resource-intensive operations.

2. Upgrade the server: If server resources are insufficient, upgrade the server to a cloud server with a higher configuration and increase the number of CPU cores or memory.

3. Load balancing: Use load balancing technology to distribute requests to multiple servers to reduce the pressure on a single server.

4. Use automatic scaling: Many cloud service providers offer automatic scaling capabilities that dynamically adjust resources based on actual load.

5. Optimize database queries: For database-intensive applications, optimizing database queries and indexes can improve efficiency.

6. Limit processes and threads: Limit the number of processes and threads running at the same time to avoid resource competition.

7. Cache: Cache frequently accessed data to reduce the number of database accesses.

8. Analyze system logs: View system logs to find out the processes that consume the most CPU resources and optimize them accordingly.

9. Use the performance monitoring tool: Use the performance monitoring tool provided by the cloud service provider to monitor the CPU usage in real time and find and resolve problems in a timely manner.

10. Distributed architecture: Consider splitting the application into a microservice architecture to improve the overall processing power through distributed deployment.

11. Scheduled tasks and batch processing: Schedule non-real-time tasks to be executed during off-peak hours to reduce CPU load during peak hours.

12. Shut down unnecessary services and processes: Periodically check and shut down unnecessary services and processes to release system resources.

Each method has its own applicable scenarios and may require a variety of measures based on the actual situation. If the problem persists, it is recommended to contact the technical support of the cloud service provider for help.