Swarm Management

The Swarms section is where you deploy, monitor, and control distributed computing experiments on your clusters.

Note

Visual guides and screenshots will be added in future documentation updates.

Overview

Swarms represent distributed computing workflows. The dashboard provides:

  • Swarm deployment and configuration

  • Real-time execution monitoring

  • Task orchestration control

  • Result collection

  • Performance analysis

Swarm List

View Options

  • Active swarms

  • Completed swarms

  • Failed swarms

  • Archived swarms

Information Displayed

  • Swarm ID and name

  • Status and progress

  • Cluster assignment

  • Task count

  • Start/end times

  • Resource usage

Deploying a Swarm

Deployment Process

  1. Click “Deploy New Swarm”

  2. Select target cluster

  3. Choose modules to execute

  4. Configure task graph

  5. Set resource requirements

  6. Review and deploy

Configuration Options

  • Task dependencies

  • Scheduling policies

  • Resource limits

  • Network settings

  • Failure handling

Monitoring Execution

Real-time Dashboard

  • Execution progress bar

  • Task distribution map

  • Resource utilization

  • Performance metrics

  • Log streaming

Task View

  • Task status grid

  • Dependency graph

  • Execution timeline

  • Error tracking

Metrics and Analytics

  • Throughput graphs

  • Latency distribution

  • Success/failure rates

  • Resource efficiency

Controlling Swarms

Runtime Controls

  • Pause/Resume execution

  • Stop swarm

  • Restart failed tasks

  • Adjust resources

  • Modify parameters

Debugging Tools

  • Live log viewing

  • Error inspection

  • Task replay

  • Performance profiling

Results Collection

Result Types

  • Intermediate results

  • Final outputs

  • Metrics and logs

  • Checkpoints

Export Options

  • Download raw data

  • Generate reports

  • Create visualizations

  • Share results

Best Practices

  • Test swarms on small datasets first

  • Monitor resource usage closely

  • Set appropriate timeouts

  • Implement checkpointing

  • Archive completed swarms

Next Steps