2019 · 174 citations · 9 references
ComputingCloud ComputingComputer ScienceCloud ArchitectureCloud InfrastructureServerless ComputingCompute Resource ManagementServerless Application DesignServerless ArchitectureServerless InfrastructureServerless Platform ArchitectureWorkload SchedulingFunction As A ServiceFunction SchedulingOverhead ReductionPlatform ResourcesServerless BenchmarkingServerless Function InvocationServerless Function TestingSource Codes
Serverless computing is attracting considerable attention, yet many studies rely on micro‑benchmarks that may be impractical. This work introduces FunctionBench, a suite of practical function workloads designed for public cloud services. The suite comprises realistic data‑oriented applications that employ diverse resources during execution. The source code, customized for multiple cloud providers, is publicly available and demonstrates that FunctionBench can reduce experiment setup overhead while enabling new function applications.
Serverless computing is attracting considerable attention recently, but many published papers use micro-benchmarks for evaluation that might result in impracticality. To address this, we present FunctionBench, a suite of practical function workloads for public services. It contains realistic data-oriented applications that utilize various resources during execution. The source codes customized for various cloud service providers are publicly available. We are positive that it suggests opportunities for new function applications with lessen experiment setup overheads.
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