Rio
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Co-authored-by: Rio <rio@agents.livingip.xyz> Co-committed-by: Rio <rio@agents.livingip.xyz>
1.5 KiB
1.5 KiB
| type | title | author | url | date | domain | format | status | tags | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| source | Resource Scheduling in Non-Stationary Service Systems | Simio / WinterSim 2018 | https://www.simio.com/resources/papers/WinterSim2018/Resource-Scheduling-In-Non-stationary-Service-Systems.php | 2018-12-01 | internet-finance | paper | unprocessed |
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Resource Scheduling in Non-Stationary Service Systems
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).
Key Content
- Non-stationary service systems require time-varying staffing — fixed worker counts are suboptimal
- The goal: determine the number of servers as a function of time
- Without server constraints there would be no waiting time, but this wastes capacity since arrivals are stochastic and nonstationary
- Simulation-based approach: use discrete-event simulation to test staffing policies against realistic arrival patterns
- Key tradeoff: responsiveness (adding workers fast when load spikes) vs. efficiency (not wasting workers during quiet periods)
Relevance to Teleo Pipeline
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.