Performance Optimization

LegacyStream is designed for high-performance audio streaming with advanced optimization techniques. This guide covers strategies to maximize performance and minimize resource usage.

System Requirements

Understanding the minimum and recommended system requirements for optimal performance.

Minimum Requirements

Performance Considerations

• CPU: More cores allow for better parallel processing of multiple streams
• RAM: Higher memory capacity enables larger buffer pools and caching
• Storage: SSD storage provides faster I/O operations for logging and caching
• Network: Higher bandwidth supports more concurrent listeners

Optimization Strategies

Key strategies for maximizing LegacyStream performance.

Resource Allocation

Optimal resource allocation based on your system capabilities:

[Performance]
# Memory pool size in MB (adjust based on available RAM)
MemoryPoolSize=512

# Number of worker threads (typically 2x CPU cores)
WorkerThreads=8

# I/O buffer size in KB
IOBufferSize=64

# Enable memory compression
EnableMemoryCompression=true

# Enable aggressive caching
EnableAggressiveCaching=true

# Network send buffer size in KB
NetworkSendBuffer=128

# Network receive buffer size in KB
NetworkReceiveBuffer=128

Thread Pool Optimization

Optimal thread pool configuration:

• I/O Threads: 2-4 threads for network I/O operations
• Worker Threads: 2x CPU cores for stream processing
• Background Threads: 1-2 threads for maintenance tasks
• Total Threads: Should not exceed 2x CPU cores + 4

Buffer Management

Efficient buffer management strategies:

• Pre-allocated Pools: Reduce memory allocation overhead
• Buffer Recycling: Reuse buffers to minimize garbage collection
• Size Optimization: Match buffer sizes to network MTU
• Memory Alignment: Align buffers for optimal CPU access

Memory Management

Advanced memory management techniques for optimal performance.

Memory Pool Architecture

The MemoryPool component provides efficient memory allocation:

struct MemoryPoolConfig {
    size_t poolSize;           // Total pool size in bytes
    size_t blockSize;          // Individual block size
    size_t maxBlocks;          // Maximum number of blocks
    bool enableCompression;    // Enable memory compression
    bool enableRecycling;      // Enable block recycling
    size_t alignment;          // Memory alignment in bytes
};

Memory Optimization Techniques

Memory Monitoring

Monitor memory usage to identify optimization opportunities:

• Allocation Patterns: Track memory allocation frequency and sizes
• Fragmentation: Monitor memory fragmentation levels
• Cache Hit Rates: Track buffer cache efficiency
• Memory Pressure: Monitor system memory availability

IOCP Optimization

Windows I/O Completion Port optimization for maximum scalability.

IOCP Architecture

IOCP (I/O Completion Ports) provides efficient asynchronous I/O:

struct IOCPConfig {
    int maxConcurrentOperations;    // Maximum concurrent I/O operations
    int threadPoolSize;             // IOCP thread pool size
    int bufferSize;                 // I/O buffer size
    bool enableScaling;             // Enable dynamic scaling
    int scalingThreshold;           // Scaling threshold
    int maxScalingFactor;           // Maximum scaling factor
};

IOCP Optimization Strategies

IOCP Best Practices

• Thread Affinity: Bind IOCP threads to specific CPU cores
• Buffer Alignment: Align buffers for optimal CPU access
• Completion Handling: Process completions in batches
• Error Handling: Implement robust error recovery

Network Optimization

Network performance optimization for high-throughput streaming.

Network Configuration

[Network]
# TCP send buffer size in KB
TCPSendBuffer=256

# TCP receive buffer size in KB
TCPReceiveBuffer=256

# Enable TCP_NODELAY
EnableTCPNoDelay=true

# Enable TCP keep-alive
EnableTCPKeepAlive=true

# Keep-alive interval in seconds
KeepAliveInterval=30

# Maximum concurrent connections
MaxConnections=1000

# Connection timeout in seconds
ConnectionTimeout=30

# Enable connection pooling
EnableConnectionPooling=true

Network Optimization Techniques

Bandwidth Management

• Quality Control: Adjust stream quality based on available bandwidth
• Rate Limiting: Implement per-client rate limiting
• Traffic Shaping: Prioritize audio traffic over other data
• Compression: Use efficient audio compression algorithms

Codec Optimization

Audio codec optimization for quality and performance balance.

Codec Selection

Codec Optimization Strategies

Monitoring Tools

Tools and techniques for monitoring performance and identifying bottlenecks.

Built-in Monitoring

LegacyStream provides comprehensive built-in monitoring:

• Performance Dashboard: Real-time CPU, memory, and network metrics
• Stream Analytics: Listener counts, bitrates, and quality metrics
• Resource Monitoring: Memory pool usage and buffer statistics
• Network Monitoring: Connection counts and bandwidth usage

External Monitoring

Additional monitoring tools and techniques:

Performance Metrics

Key metrics to monitor for optimal performance:

• CPU Usage: Should stay below 80% under normal load
• Memory Usage: Monitor for memory leaks and fragmentation
• Network I/O: Track bandwidth utilization and packet loss
• Response Time: Monitor client connection response times
• Error Rates: Track connection failures and timeouts

Best Practices

Proven strategies for achieving optimal performance with LegacyStream.

System Configuration

• Power Settings: Use "High Performance" power plan
• Network Settings: Disable power management on network adapters
• Storage: Use SSD storage for logs and cache
• Memory: Ensure sufficient RAM for your workload

Application Configuration

• Thread Pool: Size based on CPU cores and workload
• Memory Pools: Allocate based on available RAM
• Network Buffers: Match to network capacity
• Codec Settings: Balance quality and performance

Operational Practices

• Regular Monitoring: Monitor performance metrics continuously
• Capacity Planning: Plan for peak usage scenarios
• Backup Strategies: Implement redundancy for critical streams
• Update Management: Keep system and application updated

Scaling Guidelines

Troubleshooting

Common performance issues and their solutions.

Performance Issues

Diagnostic Tools

Tools for diagnosing performance issues:

• Performance Monitor: Track system resource usage
• Event Viewer: Check for system errors and warnings
• Resource Monitor: Monitor real-time resource usage
• Network Monitor: Analyze network traffic patterns
• Application Logs: Review application-specific logs

Performance Tuning

Systematic approach to performance tuning:

1. Baseline Measurement: Establish current performance baseline
2. Bottleneck Identification: Identify the limiting factor
3. Configuration Adjustment: Modify relevant settings
4. Testing: Measure performance impact
5. Iteration: Repeat until optimal performance