m3taversal
be8ff41bfe
Wrote sourced_from: into 414 claim files pointing back to their origin source. Backfilled claims_extracted: into 252 source files that were processed but missing this field. Matching uses author+title overlap against claim source: field, validated against 296 known-good pairs from existing claims_extracted. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
36 lines
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2.3 KiB
Markdown
36 lines
No EOL
2.3 KiB
Markdown
---
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type: claim
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domain: internet-finance
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description: "Optimal server provisioning follows R + β√R formula where R is base load and β controls service level"
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confidence: proven
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source: "Ward Whitt, What You Should Know About Queueing Models (2019)"
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created: 2026-03-11
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supports:
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- moderate-scale-queueing-systems-benefit-from-simple-threshold-policies-over-sophisticated-algorithms-because-square-root-staffing-captures-most-efficiency-gains
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reweave_edges:
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- moderate-scale-queueing-systems-benefit-from-simple-threshold-policies-over-sophisticated-algorithms-because-square-root-staffing-captures-most-efficiency-gains|supports|2026-04-18
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sourced_from:
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- inbox/archive/internet-finance/2019-00-00-whitt-what-you-should-know-about-queueing-models.md
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---
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# Square-root staffing principle provisions servers as base load plus beta times square root of base load where beta is quality-of-service parameter
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The square-root staffing rule provides optimal server provisioning: if base load requires R workers at full utilization, provision R + β√R workers where β ≈ 1-2 depending on target service level. This formula emerges from queueing theory analysis of multi-server systems and represents the sweet spot between over-provisioning (wasteful) and under-provisioning (queue explosion).
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The principle applies across domains: call centers, compute pipelines, service systems. For Teleo pipeline scale (~8 sources/cycle, ~5 min service time), this gives concrete worker count guidance without requiring peak-load provisioning.
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The underlying insight: variance in arrival and service times creates queueing delays even when average utilization is below 100%. The square-root safety margin handles this variance efficiently. The margin grows with system size but at a sublinear rate, creating economies of scale.
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## Evidence
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Ward Whitt's practitioner guide establishes this as the foundational staffing principle in operations research. The formula derives from the Halfin-Whitt heavy-traffic regime analysis, where systems operate near full utilization (approaching 1 at rate Θ(1/√n) as servers n grow) while keeping delays manageable.
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Erlang C formula provides the computational implementation for determining β given target service levels (probability of delay, average wait time).
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---
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Relevant Notes:
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- domains/internet-finance/_map
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Topics:
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- core/mechanisms/_map |