- Add plugin_quota.go with GPU quota management for scheduler
- Update scheduler hub and protocol for plugin support
- Add comprehensive plugin quota unit tests
- Update gang service and WebSocket queue integration tests
Add new scheduler component for distributed ML workload orchestration:
- Hub-based coordination for multi-worker clusters
- Pacing controller for rate limiting job submissions
- Priority queue with preemption support
- Port allocator for dynamic service discovery
- Protocol handlers for worker-scheduler communication
- Service manager with OS-specific implementations
- Connection management and state persistence
- Template system for service deployment
Includes comprehensive test suite:
- Unit tests for all core components
- Integration tests for distributed scenarios
- Benchmark tests for performance validation
- Mock fixtures for isolated testing
Refs: scheduler-architecture.md