arXiv · 2608.18376
When Do Microservices Save Energy? Evidence from Environmental Simulation Workflows
Abstract
Environmental simulation models support scenario analysis, calibration, and decision-making, but repeated execution can incur significant energy costs. Microservices offer modularity and scalability, yet their low-carbon impact remains unclear because decomposition introduces orchestration, communication, persistence, and idle-service overheads. This paper evaluates four environmental models as containerised microservice workflows, comparing monolithic execution with polling-based and event-driven orchestration. Results show that microservices increase energy consumption for smaller or tightly coupled models, where coordination overhead dominates. For a larger workflow, event-driven orchestration reduces energy use despite longer runtime, while selective downstream re-execution achieves a 41% reduction during repeated parameter exploration.
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Joshua Rowley, Abdessalam Elhabbash. 2026-08-18. When Do Microservices Save Energy? Evidence from Environmental Simulation Workflows. https://arxiv.org/abs/2608.18376
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