{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-11-11-019",
    "source_story_id": "tmp-brief-serverless-node-scale-zero",
    "edition_id": "mp-2026-11-11-morning-0124",
    "edition_url": "https://themachinepress.com/edition/2026-11-11",
    "position": 21,
    "story_type": "ticker",
    "section": "infrastructure",
    "editorial_classification": "editorial",
    "headline": "Scale to Zero Reaches the Physical Server",
    "slug": "scale-to-zero-reaches-the-physical-server",
    "dek": "A tinyFaaS scheduler powers single-board-computer workers off between bursts, cutting mean draw while moving delay into the tail.",
    "summary": "A tinyFaaS scheduler powers single-board-computer workers off between bursts, cutting mean draw while moving delay into the tail.",
    "body_text": "The platform treats node power state as part of serverless worker selection. On a physical cluster, the authors report 39.6% lower mean draw for a bursty trace and 46.7% lower draw for a sparse one, without a detectable median-latency change on the bursty case. Invocations arriving when every worker is off can wait about a minute for boot.",
    "why_it_matters": "A tinyFaaS scheduler powers single-board-computer workers off between bursts, cutting mean draw while moving delay into the tail.",
    "limitations": [],
    "importance": 5,
    "canonical_url": "https://themachinepress.com/story/mp-2026-11-11-019/scale-to-zero-reaches-the-physical-server",
    "json_url": "https://themachinepress.com/story/mp-2026-11-11-019.json",
    "first_published_at": "2026-11-11T09:00:00.000-05:00",
    "modified_at": "2026-11-11T09:00:00.000-05:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-11-11-019-001",
        "text": "A tinyFaaS scheduler powers single-board-computer workers off between bursts, cutting mean draw while moving delay into the tail.",
        "source_ids": [
          "source-2026-11-11-021"
        ],
        "qualification": null
      }
    ],
    "source_ids": [
      "source-2026-11-11-021"
    ],
    "tags": [
      "energy",
      "proportional",
      "serverless",
      "sbc",
      "clusters"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-11-11-021",
      "title": "arXiv:2611.14026v1",
      "publisher": "arXiv / Cornell University",
      "url": "https://arxiv.org/abs/2611.14026v1",
      "canonical_url": "https://arxiv.org/abs/2611.14026v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-11-10T07:57:21.000-05:00",
      "accessed_at": "2026-11-11T08:26:32.531-05:00",
      "supports_claim_ids": [
        "claim-mp-2026-11-11-019-001"
      ]
    }
  ],
  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "Scale to Zero Reaches the Physical Server",
    "publisher": "The Machine Press",
    "published_at": "2026-11-11T09:00:00.000-05:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-11-11-019/scale-to-zero-reaches-the-physical-server"
  }
}
