公开(公告)号：US11509746B2

公开(公告)日：2022-11-22

申请号：US17177548

申请日：2021-02-17

Applicant: salesforce.com, inc.

Inventor： Kalyan Chakravarthy Thatikonda ,  Sandip Mohod

IPC: H04L67/63 ,  G06F16/29 ,  G06N20/00 ,  H04L67/1095 ,  G06F9/50 ,  H04L67/1008 ,  H04L67/52

Abstract: Systems and methods are described for receiving a user request from a user computing system located in a first geographic region, generating a user request context for the user request, selecting a cloud computing system assigned to a second geographic region having more computing resources currently available to process the user request than a cloud computing system assigned to the first geographic region based at least in part on the user request context and a machine learning model including current utilizations of computing resources of cloud computing systems assigned to the first and second geographic regions, and sending the user request to the selected cloud computing system in the second geographic region. The systems and methods further include getting current utilizations of computing resources from cloud computing systems assigned to a plurality of regions, aggregating user request contexts and the current utilizations of computing resources; and updating the machine learning model with the aggregated user resource contexts and the aggregated current utilizations of computing resources of cloud computing systems.

公开(公告)号：US20220263914A1

公开(公告)日：2022-08-18

申请号：US17177548

申请日：2021-02-17

Applicant: salesforce.com, inc.

Inventor： Kalyan Chakravarthy Thatikonda ,  Sandip Mohod

IPC: H04L29/08 ,  G06F16/29 ,  G06F9/50 ,  G06N20/00

Abstract: Systems and methods are described for receiving a user request from a user computing system located in a first geographic region, generating a user request context for the user request, selecting a cloud computing system assigned to a second geographic region having more computing resources currently available to process the user request than a cloud computing system assigned to the first geographic region based at least in part on the user request context and a machine learning model including current utilizations of computing resources of cloud computing systems assigned to the first and second geographic regions, and sending the user request to the selected cloud computing system in the second geographic region. The systems and methods further include getting current utilizations of computing resources from cloud computing systems assigned to a plurality of regions, aggregating user request contexts and the current utilizations of computing resources; and updating the machine learning model with the aggregated user resource contexts and the aggregated current utilizations of computing resources of cloud computing systems.