# Map each workload to the right execution model

Canonical URL: <https://datadriven.io/problems/map-each-workload-to-the-right-execution-model-rule-io-bo-d5923a14>

Domain: Python · Difficulty: medium

## Problem

Map each workload to the right execution model. Rule: I/O-bound and many small waits -> 'async'; CPU-bound single-machine -> 'multiprocessing'; CPU-bound that exceeds one machine -> 'spark'. Given workloads {'api_calls':'io','image_resize':'cpu_single','petabyte_join':'cpu_cluster'}, produce a dict mapping each workload to its model and print it with keys sorted. (Model the decision, no asyncio.)

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