Ajay Kumar Karanam

US Patent:

20200005136, Jan 2, 2020

Filed:

Nov 21, 2018

Appl. No.:

16/198642

Inventors:

- Redmond WA, US
Intaik PARK - Bellevue WA, US
Felipe VIEIRA FRUJERI - Vancouver, CA
Vijay Govind PANJETI - Bothell WA, US
Ashok Sai MADALA - Redmond WA, US
Ajay Kumar KARANAM - Redmond WA, US

International Classification:

G06N 3/08
G06N 20/00

Abstract:

To obtain one or more recommendations for the migration of a database to a cloud computing system, information about performance of the database operating under a workload may be obtained. A first machine learning model (e.g., a neural network-based autoencoder) may be used to generate a compressed representation of characteristics of the database operating under the workload. The compressed representation may then be provided as input to a second machine learning model (e.g., a neural network-based classifier), which outputs a recommendation regarding a characteristic (e.g., size, configuration, level of service) of the cloud database to which the database should be migrated. This type of recommendation may be made prior to migration, thereby making it easier to properly estimate the cost of running the cloud database and plan the migration accordingly.