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Serverless functions provide high levels of parallelism, short startup times,and "pay-as-you-go" billing. These attributes make them a natural substrate fordata analytics workflows. However, the impossibility of direct communicationbetween functions makes the execution of workflows challenging. The currentpractice to share intermediate data among functions is through remote objectstorage (e.g., IBM COS). Contrary to conventional wisdom, the performance ofobject storage is not well understood. For instance, object storage can even besuperior to other simpler approaches like the execution of shuffle stages(e.g., GroupBy) inside powerful VMs to avoid all-to-all transfers betweenfunctions. Leveraging a genomics pipeline, we show that object storage is areasonable choice for data passing when the appropriate number of functions isused in shuffling stages.

A milestone for FaaS pipelines; object storage vs VM-driven data exchange