SELF Chain Advanced TPS Optimization
Overview
This document outlines the advanced optimizations and benchmarking capabilities of SELF Chain, designed to achieve Solana-level performance (50,000+ TPS).
Core Optimizations
1. Advanced Sharding (advanced_sharding.rs)
- Geographic-based sharding
- Dynamic load balancing
- Network latency optimization
- Parallel validation
- Cross-shard optimization
2. Hardware Acceleration
- GPU acceleration
- SIMD (AVX/SSE) optimization
- Cache optimization
- Batch processing
- Memory efficiency
3. Performance Monitoring
- Real-time TPS tracking
- Latency measurement
- Resource utilization
- Network monitoring
- Alert system
4. Benchmarking Suite
- Multiple load patterns
- Performance metrics
- Resource utilization
- Validation time
- Network bandwidth
Implementation Details
Advanced Sharding
struct ShardingManager {
config: ShardingConfig,
shards: Arc<RwLock<Vec<Shard>>>,
rebalance_interval: tokio::time::Interval,
}
Benchmarking
struct BenchmarkSuite {
config: BenchmarkConfig,
metrics: Arc<RwLock<BenchmarkMetrics>>,
grid_compute: Arc<GridCompute>,
performance_monitor: Arc<PerformanceMonitor>,
}
Performance Metrics
- Target TPS: 50,000+ transactions per second
- Peak TPS: 100,000+ transactions per second
- Average latency: < 1ms
- Network latency: < 10ms
- Memory usage: Optimized
- CPU utilization: < 90%
- GPU utilization: < 90%
Benchmarking Scenarios
- Constant Load
- Ramp-Up Load
- Spike Load
- Random Load
Optimization Strategy
-
Sharding:
- Geographic-based distribution
- Dynamic load balancing
- Network latency optimization
- Resource utilization
-
Hardware:
- GPU acceleration
- SIMD optimization
- Cache efficiency
- Batch processing
-
Network:
- Gossipsub optimization
- Batch messaging
- Network latency
- Resource utilization
-
Validation:
- Parallel processing
- Batch validation
- Cache optimization
- Resource utilization
Security Considerations
- Secure sharding
- Validation integrity
- Network security
- Resource isolation
- Attack prevention
Testing and Verification
- Comprehensive benchmarking
- Load testing
- Stress testing
- Performance monitoring
- Security testing