COMPUTER SYSTEM, AND METHOD AND PROGRAM FOR CONTROLLING EDGE DEVICE

• US 20180293513A1
• Filed: 11/30/2016
• Published: 10/11/2018
• Est. Priority Date: 11/30/2016
• Status: Active Grant

• Current Assignee: Optim LLC
• Original Assignee: Optim LLC
• Inventors: SUGAYA, Shunji
• Granted Patent: US 10,460,258 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04L 12/66 Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network

Abstract

The present invention is to provide a computer system and a method and a program for controlling an edge device that acquire data for a predetermined machine learning from a combination of sensors in a network, perform possible learning with the sensors without the user'"'"'s intention, and output the result. According to the present invention, a computer system that performs machine learning with an edge device 100 connected with a gateway 200 detects an edge device 100 connected with the gateway 200, determines the combination of the detected edge devices 100, determines a program for an edge device 100 and a program for machine learning based on the determined combination, and causes the edge devices 100 to execute the program for an edge device 100 and causes a predetermined computer to execute the program for machine learning.

Claims

1. (canceled)

2. A computer system that performs machine learning with an edge device connected with a gateway, comprising:

a detection unit that detects an edge device connected with the gateway;

a combination determination unit that determines the combination of the detected edge devices;

a program determination unit that determines a program for an edge device and a program for machine learning based on the determined combination;

an execution unit that causes the edge devices to execute the program for an edge device and causes a predetermined computer to execute the program for machine learning;

an acquisition unit that acquires the performance of the detected edge device;

a transmission unit that transmits data and teacher data corresponding thereto to the edge device according to the acquired performance; and

a control unit that controls the edge device to perform machine learning for the data by using the teacher data.

3. The computer system according to claim 2, further comprising:

a download unit that controls the edge device to download teacher data corresponding to the data.

4. A method for controlling an edge device that performs machine learning with an edge device connected with a gateway, comprising the steps of:

detecting an edge device connected with the gateway;

determining the combination of the detected edge devices;

determining a program for an edge device and a program for machine learning based on the determined combination;

causing the edge devices to execute the program for an edge device and causing a predetermined computer to execute the program for machine learning;

acquiring the performance of the detected edge device;

transmitting data and teacher data corresponding thereto to the edge device according to the acquired performance; and

controlling the edge device to perform machine learning for the data by using the teacher data.

5. A computer program product for use in causing a computer system that performs machine learning with an edge device connected with a gateway, comprising a non-transitory computer usable medium having a set of instructions physically embodied therein, the set of instructions including computer readable program code, which when executed by the system causes an information processing unit to execute the steps of:

detecting an edge device connected with the gateway;

determining the combination of the detected edge devices;

determining a program for an edge device and a program for machine learning based on the determined combination;

causing the edge devices to execute the program for an edge device and causing a predetermined computer to execute the program for machine learning;

acquiring the performance of the detected edge device;

transmitting data and teacher data corresponding thereto to the edge device according to the acquired performance; and

controlling the edge device to perform machine learning for the data by using the teacher data.