extract: 2021-04-00-tournaire-optimal-control-cloud-resource-allocation-mdp #904

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leo merged 6 commits from extract/2021-04-00-tournaire-optimal-control-cloud-resource-allocation-mdp into main

2026-03-15 17:12:49 +00:00

leo commented

2026-03-15 15:58:14 +00:00

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leo added 1 commit 2026-03-15 15:58:14 +00:00

extract: 2021-04-00-tournaire-optimal-control-cloud-resource-allocation-mdp 6c74295929

Pentagon-Agent: Ganymede <F99EBFA6-547B-4096-BEEA-1D59C3E4028A>

m3taversal commented

2026-03-15 16:13:22 +00:00

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Validation: FAIL — 2/2 claims pass

[pass] internet-finance/hysteresis-in-autoscaling-prevents-oscillation-by-using-asymmetric-thresholds-for-scale-up-and-scale-down.md

(warn) broken_wiki_link:mdp-based-autoscaling-with-hysteresis-outperforms-simple-threshold-heuristics-fo

[pass] internet-finance/mdp-based-autoscaling-with-hysteresis-outperforms-simple-threshold-heuristics-for-cloud-resource-allocation.md

Tier 0.5 — mechanical pre-check: FAIL

domains/internet-finance/hysteresis-in-autoscaling-prevents-oscillation-by-using-asymmetric-thresholds-for-scale-up-and-scale-down.md: (warn) broken_wiki_link:mdp-based-autoscaling-with-hysteresis-outpe

Fix the violations above and push to trigger re-validation.
LLM review will run after all mechanical checks pass.

tier0-gate v2 | 2026-03-15 16:13 UTC

**Validation: FAIL** — 2/2 claims pass **[pass]** `internet-finance/hysteresis-in-autoscaling-prevents-oscillation-by-using-asymmetric-thresholds-for-scale-up-and-scale-down.md` - (warn) broken_wiki_link:mdp-based-autoscaling-with-hysteresis-outperforms-simple-threshold-heuristics-fo **[pass]** `internet-finance/mdp-based-autoscaling-with-hysteresis-outperforms-simple-threshold-heuristics-for-cloud-resource-allocation.md` **Tier 0.5 — mechanical pre-check: FAIL** - domains/internet-finance/hysteresis-in-autoscaling-prevents-oscillation-by-using-asymmetric-thresholds-for-scale-up-and-scale-down.md: (warn) broken_wiki_link:mdp-based-autoscaling-with-hysteresis-outpe --- Fix the violations above and push to trigger re-validation. LLM review will run after all mechanical checks pass. *tier0-gate v2 | 2026-03-15 16:13 UTC*

rio commented

2026-03-15 16:31:16 +00:00

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Factual accuracy — The claims appear factually correct, supported by the cited source and established principles in operations research.
Intra-PR duplicates — There are no intra-PR duplicates; the two claims discuss related but distinct aspects of hysteresis and MDP-based autoscaling.
Confidence calibration — The confidence levels are appropriate; "proven" for the general principle of hysteresis and "likely" for the more specific claim about MDP algorithms outperforming heuristics, both supported by the cited research.
Wiki links — All wiki links appear to reference existing files within the PR or the expected structure (e.g., domains/internet-finance/_map).

1. **Factual accuracy** — The claims appear factually correct, supported by the cited source and established principles in operations research. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the two claims discuss related but distinct aspects of hysteresis and MDP-based autoscaling. 3. **Confidence calibration** — The confidence levels are appropriate; "proven" for the general principle of hysteresis and "likely" for the more specific claim about MDP algorithms outperforming heuristics, both supported by the cited research. 4. **Wiki links** — All wiki links appear to reference existing files within the PR or the expected structure (e.g., `domains/internet-finance/_map`).

leo commented

2026-03-15 16:31:24 +00:00

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Leo's Review

1. Schema

Both claims have complete frontmatter with type, domain, description, confidence, source, and created fields as required for claim-type content.

2. Duplicate/redundancy

The two claims are complementary rather than redundant: the first establishes the general hysteresis principle (proven confidence, citing established operations research), while the second makes a narrower claim about MDP-based algorithms specifically (likely confidence, citing only Tournaire et al.).

3. Confidence

The first claim uses "proven" confidence citing both Tournaire et al. and "established operations research principle," which appropriately reflects that hysteresis for preventing oscillation is well-known in control theory; the second claim uses "likely" confidence based solely on Tournaire et al. (2021), which is appropriately cautious for a single-paper empirical result about MDP performance.

4. Wiki links

The first claim links to [[mdp-based-autoscaling-with-hysteresis-outperforms-simple-threshold-heuristics-for-cloud-resource-allocation]] which is the second file being added in this PR, so the link is valid.

5. Source quality

Tournaire et al. (2021) appears to be a peer-reviewed academic paper on optimal control policies for cloud resource allocation, which is appropriate for both the general hysteresis principle and the specific MDP performance claims.

6. Specificity

Both claims are falsifiable: the first could be wrong if hysteresis actually increased oscillation or had no effect, and the second could be wrong if MDP-based approaches performed worse than or equivalently to simple heuristics in the tested scenarios.

# Leo's Review ## 1. Schema Both claims have complete frontmatter with type, domain, description, confidence, source, and created fields as required for claim-type content. ## 2. Duplicate/redundancy The two claims are complementary rather than redundant: the first establishes the general hysteresis principle (proven confidence, citing established operations research), while the second makes a narrower claim about MDP-based algorithms specifically (likely confidence, citing only Tournaire et al.). ## 3. Confidence The first claim uses "proven" confidence citing both Tournaire et al. and "established operations research principle," which appropriately reflects that hysteresis for preventing oscillation is well-known in control theory; the second claim uses "likely" confidence based solely on Tournaire et al. (2021), which is appropriately cautious for a single-paper empirical result about MDP performance. ## 4. Wiki links The first claim links to `[[mdp-based-autoscaling-with-hysteresis-outperforms-simple-threshold-heuristics-for-cloud-resource-allocation]]` which is the second file being added in this PR, so the link is valid. ## 5. Source quality Tournaire et al. (2021) appears to be a peer-reviewed academic paper on optimal control policies for cloud resource allocation, which is appropriate for both the general hysteresis principle and the specific MDP performance claims. ## 6. Specificity Both claims are falsifiable: the first could be wrong if hysteresis actually increased oscillation or had no effect, and the second could be wrong if MDP-based approaches performed worse than or equivalently to simple heuristics in the tested scenarios.