Invention Grant
- Patent Title: Real-time machine learning at an edge of a distributed network
-
Application No.: US16945723Application Date: 2020-07-31
-
Publication No.: US11762442B1Publication Date: 2023-09-19
- Inventor: Matteo Merli , Karthikeyan Ramasamy , Ram Sriharsha
- Applicant: SPLUNK INC.
- Applicant Address: US CA San Francisco
- Assignee: SPLUNK INC.
- Current Assignee: SPLUNK INC.
- Current Assignee Address: US CA San Francisco
- Agency: Artegis Law Group, LLP
- Main IPC: G06F1/26
- IPC: G06F1/26 ; G06F1/3296 ; G06N20/00 ; H04L67/12

Abstract:
Various implementations of the present application set forth a computer-implemented method comprising obtaining, by a low-power hub device, a first set of data published by an edge device, where the low-power hub device subscribes to at least a subset of data published by the edge device, generating, by the low-power hub device, a second set of data from the first set of data by inputting the first set of data into a machine learning (ML) model executing on the low-power hub device, and transmitting the second set of data to a remote server computer system.
Information query