Long-tail energy waste analysis (zombie VMs, persistent keepalives)

Identify long-tail, systemic energy drains including zombie VMs and persistent keepalives across IT/facility layers. Per Helios LongTailWasteInput schema.

Configure Parameters

Site/Facility ID*

Unique identifier for the data center facility

Analysis Time Horizon*

Node ID*

Unique identifier for physical/logical node

Rack ID*

Physical rack identifier

Analysis Timestamp*

ISO8601 UTC timestamp. Freshness requirement: < 5 min latency

Power Consumption (W)*

Node or rack-level real instant power draw

Workload Mapping*

Cron/job-to-node/rack mapping (JSON object)

Policy Context*

Context from BMS/DCIM

Ambient Temperature (°C)*

Associated ambient temperature at sensor

Policy Schedule*

Scheduled background or policy config

Enhance with Documents(Optional)

Upload facility specs, equipment data, or operational logs to improve analysis accuracy

Upload Context Documents

Drag and drop files or click to browse

Supported: TXT, CSV, JSON, Markdown, PDF, Excel (max 10MB each)

Command Palette

Long-tail energy waste analysis (zombie VMs, persistent keepalives)

Upload Context Documents