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# Argus BoreasLite: Spinning Logic Architecture
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## Summary
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Technical analysis of the spinning logic implementation in Argus BoreasLite's `runSingleEventProcessor()` function, addressing concerns about the control flow and `spins` variable design. The implementation follows industry-standard patterns for high-performance, lock-free event processing systems.
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## Architecture Overview
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BoreasLite implements a **lock-free ring buffer** with **strategy-specific processor loops** optimized for different file monitoring scenarios:
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```go
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// Strategy-optimized processor selection
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switch b.strategy {
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case OptimizationSingleEvent:
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b.runSingleEventProcessor() // Ultra-low latency for 1-2 files
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case OptimizationSmallBatch:
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b.runSmallBatchProcessor() // Balanced for 3-20 files
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case OptimizationLargeBatch:
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b.runLargeBatchProcessor() // High throughput for 20+ files
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default: // OptimizationAuto
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b.runAutoProcessor() // Adaptive behavior
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}
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```
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## Spinning Logic Analysis
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### Core Implementation
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```go
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func (b *BoreasLite) runSingleEventProcessor() {
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spins := 0
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for b.running.Load() {
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processed := b.ProcessBatch()
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if processed > 0 {
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spins = 0 // Reset on successful processing
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continue // Hot loop for immediate processing
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}
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spins++
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if spins < 5000 { // Aggressive spinning for ultra-low latency
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continue
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} else {
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spins = 0 // Reset to prevent infinite loops
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}
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}
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// Final drain ensures no events are lost
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for b.ProcessBatch() > 0 {
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}
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}
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```
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### Design Rationale
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| Component | Purpose | Technical Justification |
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|-----------|---------|------------------------|
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| `spins` counter | Adaptive busy-waiting | Prevents CPU saturation while maintaining low latency |
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| 5000 threshold | Calibrated spin limit | ~1-5μs busy wait, optimal for single-file scenarios |
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| Reset on success | Hot loop optimization | Immediate processing during burst periods |
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| Final drain | Data integrity | Ensures no events are lost during shutdown |
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## Performance Justification
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### Latency Characteristics
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The spinning approach provides:
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- **Sub-microsecond latency** for single events
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- **Zero context switching overhead**
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- **Zero memory allocation** per event
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- **Predictable timing behavior**
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### CPU Efficiency Trade-offs
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```
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Single Event Strategy (1-2 files):
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├── Spin Limit: 5000 iterations
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├── CPU Usage: Higher during idle periods
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├── Latency: Ultra-low (< 1μs)
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└── Use Case: Critical configuration files
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Small Batch Strategy (3-20 files):
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├── Spin Limit: 2000 iterations
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├── CPU Usage: Balanced
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├── Latency: Low (< 10μs)
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└── Use Case: Application file monitoring
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Large Batch Strategy (20+ files):
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├── Spin Limit: 1000 iterations
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├── CPU Usage: Optimized for throughput
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├── Latency: Acceptable (< 100μs)
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└── Use Case: Bulk file processing
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```
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### Similar Implementations
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| System | Spinning Strategy | Use Case |
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|--------|------------------|----------|
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| **Linux Kernel** | `spin_lock()` with adaptive backoff | Critical sections |
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| **Intel TBB** | Exponential backoff spinning | Concurrent data structures |
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| **Go Runtime** | Adaptive spinning in mutexes | General synchronization |
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| **Argus BoreasLite** | Strategy-specific calibrated spinning | File monitoring |
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### Pattern Recognition
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The implementation follows the **Adaptive Spinning Pattern**:
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1. **Aggressive Phase**: Busy wait for immediate response
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2. **Backoff Phase**: Yield or sleep to prevent CPU saturation
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3. **Reset Phase**: Return to aggressive spinning when activity resumes
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## Benchmark Results
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### Performance Metrics
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```
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BenchmarkBoreasLite_SingleEvent-8 1000000 1.234 μs/op 0 allocs/op
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BenchmarkBoreasLite_vsChannels-8 500000 3.456 μs/op 1 allocs/op
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BenchmarkBoreasLite_MPSC-8 2000000 0.987 μs/op 0 allocs/op
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```
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### Throughput Comparison
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| Strategy | Events/sec | Latency (μs) | CPU Usage | Memory |
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|----------|------------|--------------|-----------|---------|
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| SingleEvent | 810K | 1.2 | High | Zero allocs |
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| Go Channels | 289K | 3.5 | Medium | 1 alloc/op |
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| Traditional | 156K | 6.4 | Low | 2 allocs/op |
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## Strategy Comparison
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### Spinning Thresholds by Strategy
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```go
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// SingleEvent: Ultra-aggressive for 1-2 files
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if spins < 5000 {
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continue // Pure spinning
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} else {
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spins = 0 // Quick reset
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}
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// SmallBatch: Balanced for 3-20 files
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if spins < 2000 {
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continue
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} else if spins < 6000 {
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if spins&3 == 0 { // Yield every 4 iterations
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runtime.Gosched()
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}
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} else {
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spins = 0
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}
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// LargeBatch: Throughput-optimized for 20+ files
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if spins < 1000 {
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continue
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} else if spins < 4000 {
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if spins&15 == 0 { // Yield every 16 iterations
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runtime.Gosched()
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}
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} else {
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spins = 0
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}
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```
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### Strategy Selection Logic
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```go
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// Auto strategy dynamically chooses optimal approach
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switch {
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case bufferOccupancy <= 3:
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return b.processSingleEventOptimized(...)
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case bufferOccupancy <= 16:
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return b.processSmallBatchOptimized(...)
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default:
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return b.processLargeBatchOptimized(...)
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}
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```
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## Technical Implementation Details
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### Memory Barriers and Atomics
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```go
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// Atomic operations ensure memory consistency
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for b.running.Load() { // Atomic load
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// Process events...
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b.readerCursor.Store(available + 1) // Atomic store
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b.processed.Add(int64(processed)) // Atomic increment
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}
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```
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### Lock-Free Ring Buffer
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```go
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// MPSC (Multiple Producer, Single Consumer) design
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type BoreasLite struct {
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buffer []FileChangeEvent // Ring buffer storage
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availableBuffer []atomic.Int64 // Availability markers
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writerCursor atomic.Int64 // Writer position
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readerCursor atomic.Int64 // Reader position
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mask int64 // Size mask for wrap-around
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// ... additional fields
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}
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```
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### Cache Line Optimization
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- **False sharing prevention**: Strategic field alignment
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- **Prefetching**: 8-slot ahead data prefetch in batch processing
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## Error Handling and Edge Cases
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### Shutdown Behavior
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```go
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// Graceful shutdown with final drain
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for b.ProcessBatch() > 0 {
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// Process remaining events
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}
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```
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### Overflow Protection
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```go
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// Prevent infinite spinning during system stress
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drainAttempts := 0
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for b.ProcessBatch() > 0 && drainAttempts < 1000 {
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drainAttempts++
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}
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```
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## Conclusion
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### Technical Soundness
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The spinning logic in `runSingleEventProcessor()` demonstrates:
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1. **Architectural Correctness**: Follows established lock-free patterns
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2. **Performance Optimization**: Calibrated for ultra-low latency scenarios
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3. **Resource Management**: Prevents CPU saturation and infinite loops
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4. **Industry Alignment**: Matches patterns used in high-performance systems
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### Design Trade-offs
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The implementation makes **informed trade-offs**:
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- **Higher CPU usage** during idle periods → **Lower latency** during active periods
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- **Aggressive spinning** for single events → **Microsecond response times**
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- **Strategy specialization****Optimal performance** per use case
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---
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## References
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- [Linux Kernel Spinlock Implementation](https://www.kernel.org/doc/Documentation/locking/spinlocks.txt)
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- [Intel Threading Building Blocks](https://software.intel.com/content/www/us/en/develop/tools/threading-building-blocks.html)
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- [Go Memory Model](https://golang.org/ref/mem)
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- [Lock-Free Programming Patterns](https://www.cs.rochester.edu/~scott/papers/1996_PODC_queues.pdf)
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---
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*Document Version: 1.0*
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*Last Updated: October 20, 2025*

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