Invention Grant
- Patent Title: Selecting a disconnect from different types of channel disconnects by training a machine learning module
-
Application No.: US16270453Application Date: 2019-02-07
-
Publication No.: US11341407B2Publication Date: 2022-05-24
- Inventor: Beth A. Peterson , Lokesh M. Gupta , Matthew R. Craig , Kevin J. Ash
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Konrad Raynes Davda & Victor LLP
- Agent Janaki K. Davda
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F13/20 ; G06N20/00 ; G06F13/12

Abstract:
Provided are techniques for selecting a disconnect by training a machine learning module. A machine learning module is provided that receives inputs and produces an output. The output produced from the machine learning module based on the inputs for the first I/O operation and an estimated amount of time to acquire resources for a first I/O operation is determined. An actual amount of time to acquire resources for the first I/O operation is determined. The machine learning module is retrained based on the inputs, the output, and the actual amount of time it took to acquire resources for the first I/O operation versus an estimated amount of time to acquire the resources for the first I/O operation. The retrained machine learning module is used to select one of disconnect from a channel, the logical disconnect from the channel, or the physical disconnect from the channel for a second I/O operation.
Public/Granted literature
- US20200257967A1 SELECTING A DISCONNECT FROM DIFFERENT TYPES OF CHANNEL DISCONNECTS BY TRAINING A MACHINE LEARNING MODULE Public/Granted day:2020-08-13
Information query