11 docs tagged with "BEP"

With the introduction of the BEP execution platform:

With the introduction of the BEP execution platform:

A Worker is a single instance of a Worker application process started by BEP to process tasks.

The figure below illustrates the task distribution flow within BEP:

This article provides recommendations on how to adjust AutoML Worker parameters, such as CPU and memory consumption, for better cluster utilization and throughput.

The Worker scaling strategy is a mechanism for calculating an optimal Worker quantity to satisfy, to the maximum possible extent, the multiple task execution requirements on a cluster with fixed limited resources (non-elastic cluster). The strategy is supposed to adapt when cluster resources are added or removed.

Bot Execution Platform (BEP) is a platform allowing you to execute large volumes of tasks on a cluster in a scalable and fault-tolerant manner.

The main goal of AutoML and BEP integration is to use the BEP platform for:

The Worker management system (WMS) starts and stops BEP Workers, as well as scales them up or down based on received streams of tasks queued from client apps.

A common concern of an enterprise is whether it has enough allocated resources to handle an increase in users or the number of transactions.

BEP Worker framework