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Node-Level Optimization in Large Cluster Powered by Containerd Plugin

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Describes using containerd plugins plus lazy-loading (OCI) images and P2P image accelerators to reduce pod cold-start and mitigate IO “noisy neighbor” effects in large Kubernetes clusters. Concretely, it covers a dynamic image garbage‑collection plugin and techniques such as separating read/write disk paths to manage IO utilization for multi‑tenant, latency‑sensitive workloads (e.g., Function Compute).

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