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feat(docs): add management summary link in evaluation documents

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- include link to one-page executive summary in README
- update dashboard section in evaluation HTML to reference summary
- revise report metadata to reflect additional CSV tables generated
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Decision Facts Ledger - Storage Decision</title>
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<body>
<header class="top">
<div class="logo">SE</div>
<div class="htitle">
<b>Decision Facts Ledger</b>
<span>Every fact on the Storage Decision page &middot; value, formula, source</span>
</div>
<div class="hright">
<a class="chip" href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/raw/branch/master/docs/research/Tribology_Storage_Decision.html" target="_blank" rel="noopener">&larr; Storage Decision</a>
<a class="chip" href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/raw/branch/master/docs/research/Tribology_Storage_Evaluation.html" target="_blank" rel="noopener">Full study</a>
<a class="chip" href="https://git.boskadoff.com/Public/LabDataStorageEvaluation" target="_blank" rel="noopener">Git repository</a>
</div>
</header>
<div class="page">
<h1>Decision Facts Ledger</h1>
<p>Every number shown on the <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/raw/branch/master/docs/research/Tribology_Storage_Decision.html" target="_blank" rel="noopener">Storage Decision</a> executive summary, traced to the artifact that proves it. All source files are committed in the public repository and regenerate deterministically from seed 20260711. Projection tables carry one row per format x task x scale; "geometric mean" is the same averaging the study's scoring uses.</p>
<p class="muted">Sources: <span class="mono">t6</span> = <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6_projected_all_scales.csv</a> &middot; <span class="mono">t7</span> = <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7_hardware_all_scales.csv</a> &middot; <span class="mono">t1</span> = <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t1_storage_footprint.csv" target="_blank" rel="noopener">t1_storage_footprint.csv</a> &middot; <span class="mono">prices</span> = <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/config/hw_prices.yaml" target="_blank" rel="noopener">hw_prices.yaml</a> &middot; <span class="mono">spec</span> = <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/docs/specs/10_extrapolation_model.md" target="_blank" rel="noopener">10_extrapolation_model.md</a></p>
<h2 id="premises">Premises</h2>
<div class="card">
<table>
<tr><th>ID</th><th>Fact on the page</th><th>Exact value</th><th>How obtained</th><th>Source</th></tr>
<tr><td class="id">P1</td><td>"600 GB of laboratory data today"</td><td class="val">600 GB</td><td>The laboratory's current operational volume; also the first extrapolation scale of the study (scale_gb = 600).</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/docs/specs/10_extrapolation_model.md" target="_blank" rel="noopener">spec</a>, <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
<tr><td class="id">P2</td><td>"6 TB within a few years"</td><td class="val">6,000 GB</td><td>The largest extrapolation scale of the study (scale_gb = 6000), the growth horizon.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/docs/specs/10_extrapolation_model.md" target="_blank" rel="noopener">spec</a>, <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
</table>
</div>
<h2 id="performance">Performance (average everyday report)</h2>
<div class="card">
<table>
<tr><th>ID</th><th>Fact on the page</th><th>Exact value</th><th>How obtained</th><th>Source</th></tr>
<tr><td class="id">F1</td><td>PostgreSQL, average report today: "~6 seconds"</td><td class="val">5.66 s</td><td>Geometric mean of the 7 projected_wall_s values where format = PostgreSQL, scale_gb = 600.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
<tr><td class="id">F2</td><td>PostgreSQL, average report at 6 TB: "~30 seconds"</td><td class="val">29.6 s</td><td>Geometric mean, format = PostgreSQL, scale_gb = 6000.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
<tr><td class="id">F3</td><td>Graph (RDF), average report today: "~1.6 hours"</td><td class="val">5,902 s = 1.64 h</td><td>Geometric mean, format = RDF triplestore, scale_gb = 600.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
<tr><td class="id">F4</td><td>Graph (RDF), average report at 6 TB: "~12 hours"</td><td class="val">43,157 s = 11.99 h</td><td>Geometric mean, format = RDF triplestore, scale_gb = 6000.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
<tr><td class="id">F5</td><td>"3 of 7 tasks need more than a day" (RDF, today)</td><td class="val">q3 2.1 d &middot; q5 2.8 d &middot; q7 1.9 d</td><td>Count of RDF rows at scale_gb = 600 with projected_wall_s &gt; 86,400.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
<tr><td class="id">F6</td><td>"5 of 7 tasks need a day or more" (RDF, 6 TB)</td><td class="val">q2, q3, q4, q5, q7</td><td>Count of RDF rows at scale_gb = 6000 with projected_wall_s &gt;= 86,400.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
</table>
</div>
<h2 id="hardware">Hardware and cost</h2>
<div class="card">
<table>
<tr><th>ID</th><th>Fact on the page</th><th>Exact value</th><th>How obtained</th><th>Source</th></tr>
<tr><td class="id">F7</td><td>"one standard server, $10.5k" (PostgreSQL, today)</td><td class="val">$10,500 &middot; 1 node</td><td>Row format = PostgreSQL, scale_gb = 600: est_cost_usd, nodes; bill of materials in the configuration column.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7</a></td></tr>
<tr><td class="id">F8</td><td>"already two servers with 1.4 TB of memory, $58.7k" (RDF, today)</td><td class="val">$58,740 &middot; 2 nodes &middot; 1,404.1 GB RAM</td><td>Row format = RDF triplestore, scale_gb = 600: est_cost_usd, nodes, ram_gb.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7</a></td></tr>
<tr><td class="id">F9</td><td>"still one server, $33.6k" / "one 16-core server with 551 GB RAM" (PostgreSQL, 6 TB)</td><td class="val">$33,586 &middot; 1 node &middot; 16 cores &middot; 551.3 GB</td><td>Row format = PostgreSQL, scale_gb = 6000: est_cost_usd, nodes, cores, ram_gb.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7</a></td></tr>
<tr><td class="id">F10</td><td>"a 14-server cluster, $527.7k" (RDF, 6 TB)</td><td class="val">$527,732 &middot; 14 nodes</td><td>Row format = RDF triplestore, scale_gb = 6000: est_cost_usd, nodes.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7</a></td></tr>
<tr><td class="id">F11</td><td>"July 2026 prices"</td><td class="val">as_of 2026-07-11</td><td>Street prices with per-component source URLs recorded in the operator-editable price file.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/config/hw_prices.yaml" target="_blank" rel="noopener">prices</a></td></tr>
</table>
</div>
<h2 id="storage">Storage</h2>
<div class="card">
<table>
<tr><th>ID</th><th>Fact on the page</th><th>Exact value</th><th>How obtained</th><th>Source</th></tr>
<tr><td class="id">F12</td><td>"21 TB" disk (PostgreSQL, 6 TB)</td><td class="val">20.855 TB</td><td>Row format = PostgreSQL, scale_gb = 6000: disk_tb (includes 30% free-space headroom).</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7</a></td></tr>
<tr><td class="id">F13</td><td>"91 TB" disk (RDF, 6 TB)</td><td class="val">91.268 TB</td><td>Row format = RDF triplestore, scale_gb = 6000: disk_tb.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7</a></td></tr>
<tr><td class="id">F14</td><td>"stores the same data 4.4x bigger"</td><td class="val">11.70 / 2.67 = 4.38</td><td>Ratio of the measured working-footprint coefficients vs raw CSV (RDF 11.70x over PostgreSQL 2.67x).</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t1_storage_footprint.csv" target="_blank" rel="noopener">t1</a></td></tr>
</table>
</div>
<h2 id="kpis">Headline figures</h2>
<div class="card">
<table>
<tr><th>ID</th><th>Fact on the page</th><th>Exact value</th><th>How obtained</th><th>Source</th></tr>
<tr><td class="id">K1</td><td>"1,000x faster on the average everyday report"</td><td class="val">1,043x today &middot; 1,459x at 6 TB</td><td>F3 / F1 = 5,902 / 5.66; F4 / F2 = 43,157 / 29.6. Stated conservatively as 1,000x.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
<tr><td class="id">K2</td><td>"$494k saved" (hardware at 6 TB)</td><td class="val">$494,146</td><td>F10 - F9 = 527,732 - 33,586.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7</a></td></tr>
<tr><td class="id">K3</td><td>"1 vs 14 servers needed at 6 TB"</td><td class="val">nodes: 1 vs 14</td><td>nodes column, rows PostgreSQL/6000 and RDF triplestore/6000.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t7_hardware_all_scales.csv" target="_blank" rel="noopener">t7</a></td></tr>
</table>
</div>
<h2 id="notes">Notes</h2>
<div class="card">
<table>
<tr><th>ID</th><th>Fact on the page</th><th>Exact value</th><th>How obtained</th><th>Source</th></tr>
<tr><td class="id">N1</td><td>"SQLite is excellent for a single user up to ~600 GB"</td><td class="val">all 7 tasks OK at 600 GB; q5 = 1.6 h, q7 = 1.5 h at 1.2 TB</td><td>SQLite rows in t6: every flag OK at scale_gb = 600; its single-threaded full scans exceed the 1-hour bound from scale_gb = 1200.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/src/branch/master/out/report/tables/t6_projected_all_scales.csv" target="_blank" rel="noopener">t6</a></td></tr>
<tr><td class="id">N2</td><td>Method behind every projected number</td><td class="val">measured 35-cell benchmark</td><td>Scaling laws calibrated on the measured corpus; every measured run checksum-validated. Full methodology and measured medians in the interactive study.</td><td><a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation/raw/branch/master/docs/research/Tribology_Storage_Evaluation.html" target="_blank" rel="noopener">full study</a></td></tr>
</table>
</div>
<div class="foot">
Part of the LabDataStorageEvaluation study &middot; run of 2026-07-11, seed 20260711 &middot; canonical source: <a href="https://git.boskadoff.com/Public/LabDataStorageEvaluation" target="_blank" rel="noopener">git.boskadoff.com/Public/LabDataStorageEvaluation</a>.<br>
Study: Mary Goncharenko (Tribology Laboratory, University of Florida; internship at Sandia National Laboratories), with the technical assistance of Vasiliy Goncharenko (SoftCreator, LLC).
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