公开(公告)号：US20220374702A1

公开(公告)日：2022-11-24

申请号：US17308349

申请日：2021-05-05

Applicant: VMware, Inc.

Inventor： Nicholas Kushmerick ,  Ilia Pantechev ,  Nikhil Khani

IPC: G06N3/08 ,  G06N3/04

Abstract: Computational methods and systems described herein are directed to predicting behavior of a distributed application in response to proposed changes to the distributed application and/or proposed changes to a distributed computing system in which the distributed application is running. A training set of graphs of a distributed computing environment of the distributed application is constructed. Each graph represents a state of the distributed computing environment at a point in time. Machine learning techniques train a neural network (“NN”) model that outputs key performance indicators (“KPIs”) of the distributed application in response to changes to the distributed computing environment. When a user proposes a change, the NN model predicts KPIs that indicate how the distributed application is impacted by the proposed change. Predicted KPIs are compared with KPIs that represent current performance of the distributed application to determine whether the proposed change is expected to improve performance of the distributed application.