Progress Portal for Synthetic Data Tasks

摘要

Various techniques are described for monitoring progress of a distributed Synthetic Data as a Service (SDaaS) in processing a synthetic data request. A progress portal can be provided that allows a requesting account to actively monitor SDaaS progress in processing a request and to issue commands to assign a resource to process an associated synthetic data task, even after beginning to process the request. The portal may support commands to assign or change resources (e.g., CPUs/GPUs), batch the processing of a synthetic data task, maximize or minimize a derived processing characteristic (e.g., processing time, cost, quality of output, etc.), set the size or quality of generated synthetic data assets, and the like. The portal may provide various types of feedback, such as progress in processing the request, CPU/GPU usage, a measure of time spent on synthetic data creation by a particular type of processor, and the like.