公开(公告)号：US20210182729A1

公开(公告)日：2021-06-17

申请号：US16710499

申请日：2019-12-11

Applicant: Cisco Technology, Inc.

Inventor： Johnu George ,  Sourav Chakraborty ,  Amit Kumar Saha ,  Debojyoti Dutta ,  Xinyuan Huang ,  Adhita Selvaraj

IPC: G06N20/00 ,  G06K9/62 ,  G06F9/48 ,  G06F9/38

Abstract: A method can include receiving, at a workflow controller, a machine learning workflow, the machine learning workflow associated with a first task and a second task. The first task is training a machine learning model and the second task is deploying the model. The method can include segmenting, by the workflow controller, the machine learning workflow into a first sub-workflow associated with the first task and a second sub-workflow associated with the second task, assigning a first workflow agent to the first sub-workflow and assigning a second workflow agent to the second sub-workflow, selecting, by the first workflow agent and based on first resources needed to perform the first task, a first cluster for performing the first task and selecting, by the second workflow agent and based on second resources needed to perform the second task, a second cluster for performing the second task.

公开(公告)号：US11847500B2

公开(公告)日：2023-12-19

申请号：US16710499

申请日：2019-12-11

Applicant: Cisco Technology, Inc.

Inventor： Johnu George ,  Sourav Chakraborty ,  Amit Kumar Saha ,  Debojyoti Dutta ,  Xinyuan Huang ,  Adhita Selvaraj

IPC: G06F9/50 ,  G06N20/00 ,  G06F9/48 ,  G06F9/38 ,  G06F18/23213

CPC classification number: G06F9/5044 ,  G06F9/3836 ,  G06F9/48 ,  G06F9/4806 ,  G06F9/4843 ,  G06F9/4881 ,  G06F9/50 ,  G06F9/5005 ,  G06F9/5011 ,  G06F9/5022 ,  G06F9/5027 ,  G06F9/5038 ,  G06F9/5055 ,  G06F9/5061 ,  G06F9/5077 ,  G06F18/23213 ,  G06N20/00

Abstract: A method can include receiving, at a workflow controller, a machine learning workflow, the machine learning workflow associated with a first task and a second task. The first task is training a machine learning model and the second task is deploying the model. The method can include segmenting, by the workflow controller, the machine learning workflow into a first sub-workflow associated with the first task and a second sub-workflow associated with the second task, assigning a first workflow agent to the first sub-workflow and assigning a second workflow agent to the second sub-workflow, selecting, by the first workflow agent and based on first resources needed to perform the first task, a first cluster for performing the first task and selecting, by the second workflow agent and based on second resources needed to perform the second task, a second cluster for performing the second task.