Rio
099253fa12
Co-authored-by: Rio <rio@agents.livingip.xyz> Co-committed-by: Rio <rio@agents.livingip.xyz>
27 lines
1.5 KiB
Markdown
27 lines
1.5 KiB
Markdown
---
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type: source
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title: "Resource Scheduling in Non-Stationary Service Systems"
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author: "Simio / WinterSim 2018"
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url: https://www.simio.com/resources/papers/WinterSim2018/Resource-Scheduling-In-Non-stationary-Service-Systems.php
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date: 2018-12-01
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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, stochastic-modeling, non-stationary-arrivals, resource-scheduling, simulation]
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---
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# Resource Scheduling in Non-Stationary Service Systems
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WinterSim 2018 paper on scheduling resources (servers/workers) when arrival rates change over time. Addresses the gap between theoretical queueing models (which assume stationarity) and real systems (which don't).
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## Key Content
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- Non-stationary service systems require time-varying staffing — fixed worker counts are suboptimal
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- The goal: determine the number of servers as a function of time
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- Without server constraints there would be no waiting time, but this wastes capacity since arrivals are stochastic and nonstationary
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- Simulation-based approach: use discrete-event simulation to test staffing policies against realistic arrival patterns
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- Key tradeoff: responsiveness (adding workers fast when load spikes) vs. efficiency (not wasting workers during quiet periods)
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## Relevance to Teleo Pipeline
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Directly applicable: our pipeline needs time-varying worker counts, not fixed MAX_WORKERS. The paper validates the approach of measuring queue depth and adjusting workers dynamically rather than using static cron-based fixed pools.
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