43e6446587
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 |
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| .. | ||
| examples | ||
| podman/workspace | ||
| ml_templates.go | ||
| scheduler_fixture.go | ||
| scheduler_mock.go | ||
| ssh_server.go | ||
| test_utils.go | ||
| tui_driver.go | ||