Rio
099253fa12
Co-authored-by: Rio <rio@agents.livingip.xyz> Co-committed-by: Rio <rio@agents.livingip.xyz>
29 lines
1.7 KiB
Markdown
29 lines
1.7 KiB
Markdown
---
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type: source
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title: "On Queueing Theory for Large-Scale CI/CD Pipelines Optimization"
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author: "Grégory Bournassenko"
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url: https://arxiv.org/abs/2504.18705
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date: 2025-04-25
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domain: internet-finance
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format: paper
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status: unprocessed
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tags: [pipeline-architecture, operations-research, queueing-theory, ci-cd, M/M/c-queue]
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---
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# On Queueing Theory for Large-Scale CI/CD Pipelines Optimization
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Academic paper applying classical M/M/c queueing theory to model CI/CD pipeline systems. Proposes a queueing theory modeling framework to optimize large-scale build/test workflows using multi-server queue models.
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## Key Content
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- Addresses bottleneck formation in high-volume shared infrastructure pipelines
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- Models pipeline stages as M/M/c queues (Poisson arrivals, exponential service, c servers)
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- Integrates theoretical queueing analysis with practical optimization — dynamic scaling and prioritization of CI/CD tasks
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- Framework connects arrival rate modeling to worker count optimization
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- Demonstrates that classical queueing models provide actionable guidance for real software pipelines
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## Relevance to Teleo Pipeline
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Direct parallel: our extract/eval pipeline IS a multi-stage CI/CD-like system. Sources arrive (Poisson-ish), workers process them (variable service times), and queue depth determines throughput. The M/M/c framework gives us closed-form solutions for expected wait times given worker counts.
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Key insight: M/M/c queues show that adding workers has diminishing returns — the marginal improvement of worker N+1 decreases as N grows. This means there's an optimal worker count beyond which additional workers waste compute without meaningfully reducing queue wait times.
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