teleo-codex/inbox/archive/2018-00-00-simio-resource-scheduling-non-stationary-service-systems.md

type	title	author	url	date	domain	format	status	tags	processed_by	processed_date	claims_extracted	extraction_model	extraction_notes
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	processed	pipeline-architecture stochastic-modeling non-stationary-arrivals resource-scheduling simulation	rio	2026-03-11	non-stationary-service-systems-require-dynamic-worker-allocation-because-fixed-staffing-wastes-capacity-during-low-demand-and-creates-queues-during-peaks.md	anthropic/claude-sonnet-4.5	Single claim extracted on dynamic resource scheduling for non-stationary systems. Paper provides theoretical validation for pipeline architecture decisions. No entity data (academic paper, not a company/product/market). No enrichments to existing claims (this is infrastructure/systems design, not directly about futarchy, capital formation, or other existing KB claims).

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.

Key Facts

• WinterSim 2018 conference paper on resource scheduling
• Addresses gap between stationary queueing theory and real non-stationary systems
• Uses discrete-event simulation to test staffing policies
• Key tradeoff: responsiveness (fast worker addition) vs efficiency (no wasted capacity)