AI RESEARCH
SCION: Size-aware Policy Orchestration for Nonstationary Object Caches (Long Paper Version)
arXiv CS.AI
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ArXi:2605.01055v1 Announce Type: cross Object caches underpin cloud and edge services, but production workloads are heterogeneous, nonstationary, and throughput-constrained. Recent simple non-ML policies such as SIEVE and S3-FIFO set a strong baseline, so any learned method must be overhead-aware, robust under drift, and competitive with strong experts. We present SCION, a lightweight policy-orchestration framework that selects among a small set of deployable cache policies using a tiny workload fingerprint computed off the critical path.