When Do Microservices Save Energy? Evidence from Environmental Simulation Workflows
arXiv 2608.18376•46a19190f57189b9316354ff3bcc24a2c7e30078a86d3a3eb82fb1802b98f682
KubernetesLLM inferenceacademic researcharXivautoscalingcloud computingconcurrencydistributed algorithmsdistributed systemsenergy efficiencyfederated datamicroservices
Paper metadata
- arXiv ID
- 2608.18376
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 46a19190f57189b9316354ff3bcc24a2c7e30078a86d3a3eb82fb1802b98f682
- Enrichment time
- 2026-08-20T08:52:11Z
- AI-assisted enrichment
- Yes
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