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FaaS

Deployment of serverless functions depends on various factors. This dataset presents deployment time of a Python serverless function with various deployment package size, deployed on 6 regions of AWS and 6 regions of IBM. Deployment scripts are executed from Innsbruck, Austria.

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Effects of the "spawn start" of the Monte Carlo serverless function that simulates Pi.

The functions are orchestrated as a workflow and executed with the xAFCL enactment engine (https://doi.org/10.1109/TSC.2021.3128137) on three regions (US, EU, Asia) of three cloud providers AWS Lambda, Google Cloud Functions, and IBM Cloud Functions.

100 instances of the Monte Carlo function are executed with "concurrency=30", which means that the first 30 functions are executed in parallel, while the rest 70 are invoked one after the other after some active function finishes.

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