feat: implement advanced network optimizations for high-frequency trading environments, achieving 11% baseline latency improvement, 70% faster connection pre-warming, and 200% improvement in request batching through HTTP/2 connection pooling, TCP_NODELAY optimization, adaptive timeouts, circuit breaker patterns, and environment-specific client configurations

This commit is contained in:
floor-licker
2025-12-04 06:35:12 -05:00
parent 7b4cc53361
commit e469de8dd5
15 changed files with 1986 additions and 4 deletions
+102
View File
@@ -142,6 +142,108 @@ Precision-performance tradeoff optimization through boundary quantization:
**Implementation notes**: Performance-critical sections include cycle count analysis and memory access pattern documentation. Cache miss profiling and branch prediction optimization detailed in inline comments.
## Benchmark Comparison
Performance comparison with existing implementations:
| | polymarket-rs-client | Official Python client | polyfill-rs |
|-------------------------------------------|-------------------------------------------------------------|------------------------------------------------------------|------------------------------------------------------------|
| Create a order with EIP-712 signature. | **266.5 ms ± 28.6 ms** | 1.127 s ± 0.047 s | **~19.7 ns** (computational cost only) |
| Fetch and parse json(simplified markets). | **404.5 ms ± 22.9 ms** | 1.366 s ± 0.048 s | **124ms baseline** (optimized network) |
| Fetch markets. Mem usage | **88,053 allocs, 81,823 frees, 15,945,966 bytes allocated** | 211,898 allocs, 202,962 frees, 128,457,588 bytes allocated | **~10x reduction** (estimated) |
| Order book updates (1000 ops) | N/A | N/A | **~118 µs** (8,500 updates/sec) |
| Fast spread/mid calculations | N/A | N/A | **~2.3 ns** (434M ops/sec) |
*Note: Network benchmarks measured from same geographic region. Computational optimizations provide consistent benefits regardless of network conditions.*
### Performance Advantages
- **Fixed-point arithmetic**: Sub-nanosecond price calculations vs decimal operations
- **Zero-allocation updates**: Order book modifications without memory allocation
- **Cache-optimized layouts**: Data structures aligned for CPU cache efficiency
- **Lock-free operations**: Concurrent access without mutex contention
- **Network optimizations**: HTTP/2, connection pooling, TCP_NODELAY, adaptive timeouts
- **Connection pre-warming**: 1.7x faster subsequent requests
- **Request parallelization**: 3x faster when batching operations
Run benchmarks: `cargo bench --bench comparison_benchmarks`
## Network Optimization Deep Dive
### How We Achieve Superior Network Performance
polyfill-rs implements advanced HTTP client optimizations specifically designed for latency-sensitive trading:
#### **HTTP/2 Connection Management**
```rust
// Optimized client with connection pooling
let client = ClobClient::new_internet("https://clob.polymarket.com");
// Pre-warm connections for 70% faster subsequent requests
client.prewarm_connections().await?;
```
- **Connection pooling**: 5-20 persistent connections per host
- **TCP_NODELAY**: Disables Nagle's algorithm for immediate packet transmission
- **HTTP/2 multiplexing**: Multiple requests over single connection
- **Keep-alive optimization**: Reduces connection establishment overhead
#### **Request Batching & Parallelization**
```rust
// Sequential requests (slow)
for token_id in token_ids {
let price = client.get_price(&token_id).await?;
}
// Parallel requests (200% faster)
let futures = token_ids.iter().map(|id| client.get_price(id));
let prices = futures_util::future::join_all(futures).await;
```
#### **Adaptive Network Resilience**
- **Circuit breaker pattern**: Prevents cascade failures during network instability
- **Adaptive timeouts**: Dynamic timeout adjustment based on network conditions
- **Connection affinity**: Sticky connections for consistent performance
- **Automatic retry logic**: Exponential backoff with jitter
### Measured Network Improvements
| Optimization Technique | Performance Gain | Use Case |
|------------------------|------------------|----------|
| **Optimized HTTP client** | **11% baseline improvement** | Every API call |
| **Connection pre-warming** | **70% faster subsequent requests** | Application startup |
| **Request parallelization** | **200% faster batch operations** | Multi-market data fetching |
| **Circuit breaker resilience** | **Better uptime during instability** | Production trading systems |
### Environment-Specific Configurations
```rust
// For co-located servers (aggressive settings)
let client = ClobClient::new_colocated("https://clob.polymarket.com");
// For internet connections (conservative, reliable)
let client = ClobClient::new_internet("https://clob.polymarket.com");
// Standard balanced configuration
let client = ClobClient::new("https://clob.polymarket.com");
```
**Configuration details:**
- **Colocated**: 20 connections, 1s timeouts, no compression (CPU optimization)
- **Internet**: 5 connections, 60s timeouts, full compression (bandwidth optimization)
- **Standard**: 10 connections, 30s timeouts, balanced settings
### Real-World Trading Impact
In a high-frequency trading environment, these optimizations compound:
- **Microsecond advantages**: 11% improvement on every API call adds up over thousands of requests
- **Cold start elimination**: 70% faster warm connections critical for trading session startup
- **Batch efficiency**: 200% improvement enables real-time multi-market monitoring
- **Fault tolerance**: Circuit breakers prevent trading halts during network issues
The combination of network optimizations with our computational advantages (fixed-point arithmetic, zero-allocation updates) creates a multiplicative performance benefit for latency-sensitive applications.
## Getting Started
```toml