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Serverless computing, or Function-as-a-Service (FaaS), enables a new way ofbuilding and scaling applications by allowing users to deploy fine-grainedfunctions while providing fully-managed resource provisioning and auto-scaling.Custom FaaS container support is gaining traction as it enables better controlover OSes, versioning, and tooling for modernizing FaaS applications. However,providing rapid container provisioning introduces non-trivial challenges forFaaS providers, since container provisioning is costly, and real-world FaaSworkloads exhibit highly dynamic patterns. In this paper, we design FaaSNet, ahighly-scalable middleware system for accelerating FaaS container provisioning.FaaSNet is driven by the workload and infrastructure requirements of the FaaSplatform at one of the world's largest cloud providers, Alibaba Cloud FunctionCompute. FaaSNet enables scalable container provisioning via a lightweight,adaptive function tree (FT) structure. FaaSNet uses an I/O efficient, on-demandfetching mechanism to further reduce provisioning costs at scale. We implementand integrate FaaSNet in Alibaba Cloud Function Compute. Evaluation resultsshow that FaaSNet: (1) finishes provisioning 2500 function containers on 1000virtual machines in 8.3 seconds, (2) scales 13.4x and 16.3x faster than AlibabaCloud's current FaaS platform and a state-of-the-art P2P container registry(Kraken), respectively, and (3) sustains a bursty workload using 75.2% lesstime than an optimized baseline.

FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute