Rio
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Co-authored-by: Rio <rio@agents.livingip.xyz> Co-committed-by: Rio <rio@agents.livingip.xyz>
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| type | title | author | url | date | domain | format | status | tags | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| source | On Queueing Theory for Large-Scale CI/CD Pipelines Optimization | Grégory Bournassenko | https://arxiv.org/abs/2504.18705 | 2025-04-25 | internet-finance | paper | unprocessed |
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On Queueing Theory for Large-Scale CI/CD Pipelines Optimization
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.
Key Content
- Addresses bottleneck formation in high-volume shared infrastructure pipelines
- Models pipeline stages as M/M/c queues (Poisson arrivals, exponential service, c servers)
- Integrates theoretical queueing analysis with practical optimization — dynamic scaling and prioritization of CI/CD tasks
- Framework connects arrival rate modeling to worker count optimization
- Demonstrates that classical queueing models provide actionable guidance for real software pipelines
Relevance to Teleo Pipeline
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.
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.