arXiv:2611.14026 · v1

Energy-Proportional Serverless Computing on SBC Clusters

首次提交 2026-11-10 20:57

版本更新 2026-11-10 20:57

雷达观测 2026-11-11 11:04

摘要

Serverless computing promises to run code only on demand, yet the servers beneath it draw most of their power while idle, so energy consumption does not scale to zero with the workload. We show that the statelessness of serverless functions makes it possible to extend scale-to-zero from function instances to physical nodes, enabling energy proportionality. Our platform, built on tinyFaaS for clusters of single-board computers, treats node power state as part of worker selection, powering workers off when idle and back on under load. On a physical cluster, our approach reduces mean power draw by 39.6 % on a bursty, trace-based workload and by 46.7 % on a sparse one, without a detectable change in median latency on the bursty workload. The cost lands in the tail, where invocations that arrive while all workers are off wait about a minute for a node to boot. Under continuous load, the platform behaves like an always-on cluster.

作者备注：Accepted for publication at the 4th International Workshop on Middleware for the Computing Continuum (Mid4CC '26)