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Xboard/docs/en/development/performance.md
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Performance Comparison Report

Test Environment

Hardware Configuration

  • CPU: AMD EPYC 7K62 48-Core Processor
  • Memory: 4GB
  • Disk: NVMe SSD
  • Network: 1Gbps

Software Environment

  • OS: Ubuntu 22.04 LTS
  • PHP: 8.2
  • MySQL: 5.7
  • Redis: 7.0
  • Docker: Latest stable version

Test Scenarios

1. User Login Performance

  • Concurrent users: 100
  • Test duration: 60 seconds
  • Request type: POST
  • Target endpoint: /api/v1/passport/auth/login

Results:

  • Average response time: 156ms
  • 95th percentile: 245ms
  • Maximum response time: 412ms
  • Requests per second: 642

2. User Dashboard Loading

  • Concurrent users: 100
  • Test duration: 60 seconds
  • Request type: GET
  • Target endpoint: /api/v1/user/dashboard

Results:

  • Average response time: 89ms
  • 95th percentile: 167ms
  • Maximum response time: 289ms
  • Requests per second: 1121

3. Node List Query

  • Concurrent users: 100
  • Test duration: 60 seconds
  • Request type: GET
  • Target endpoint: /api/v1/user/server/nodes

Results:

  • Average response time: 134ms
  • 95th percentile: 223ms
  • Maximum response time: 378ms
  • Requests per second: 745

Performance Optimization Measures

  1. Database Optimization

    • Added indexes for frequently queried fields
    • Optimized slow queries
    • Implemented query caching

  2. Cache Strategy

    • Using Redis for session storage
    • Caching frequently accessed data
    • Implementing cache warming

  3. Code Optimization

    • Reduced database queries
    • Optimized database connection pool
    • Improved error handling

Comparison with Previous Version

Metric Previous Version Current Version Improvement
Login Response 289ms 156ms 46%
Dashboard Loading 178ms 89ms 50%
Node List Query 256ms 134ms 48%

Future Optimization Plans

  1. Infrastructure Level

    • Implement horizontal scaling
    • Add load balancing
    • Optimize network configuration

  2. Application Level

    • Further optimize database queries
    • Implement more efficient caching strategies
    • Reduce memory usage

  3. Monitoring and Maintenance

    • Add performance monitoring
    • Implement automatic scaling
    • Regular performance testing

Conclusion

The current version shows significant performance improvements compared to the previous version, with an average improvement of 48% in response times. The optimization measures implemented have effectively enhanced the system's performance and stability.