That's a lot of snail mail for a marathon with tens of thousands of applicants. Since checkpointing typically takes tens of milliseconds (e.g., checkpoint TC1 to tmpfs takes 30ms in Figure 2 (c)), implementing dynamic checkpointing is inefficient for serverless frameworks. Finally, checkpointing is typically slow and thus is inefficient for dynamically checkpointing serverless functions. When generalizing fork to remote efficiently, one container is sufficient to warm start any functions across different machines. We also record a mapping between the fork meta and shadow container and its descriptor so that each machine can handle future descriptor fetches and fallback page requests (§4.3). Yet, each machine must cache sufficient instances to handle unpredictable high function invocations. One machine typically cannot handle the unpredictable spike workloads without sacrificing the performance. However, Coms.Fqn.Comm.Unity.Moe it is still has an unsatisfactory performance for auto-scaling (demonstrated in §2.4). For remote fork, the child machine can directly read the parent’s mapped page with RDMA bypassing DFS (see §2.4)

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