Invention Grant
- Patent Title: Developing an accurate dispersed storage network memory performance model through training
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Application No.: US16019505Application Date: 2018-06-26
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Publication No.: US10673828B2Publication Date: 2020-06-02
- Inventor: Ilir Iljazi
- Applicant: International Business Machines Corporation
- Applicant Address: US CA Mountain View
- Assignee: PURE STORAGE, INC.
- Current Assignee: PURE STORAGE, INC.
- Current Assignee Address: US CA Mountain View
- Agency: Garlick & Markison
- Agent Shayne X. Short
- Main IPC: G06F11/00
- IPC: G06F11/00 ; H04L29/06 ; G06F11/10 ; H03M13/29 ; H03M13/37 ; G06F11/20 ; H03M13/15 ; G06F30/20 ; G06F11/07 ; G06Q10/06 ; G06Q10/00 ; G06F3/06 ; G06F11/14 ; G06F11/30 ; G06F11/32 ; G06F13/40 ; G06F13/42 ; G06N3/04 ; G06N3/08 ; G06N3/10 ; H03M13/00 ; H04L9/08 ; H04L9/14 ; H04L9/32

Abstract:
A computing device includes an interface configured to interface and communicate with a dispersed or distributed storage network (DSN), a memory that stores operational instructions, and a processing module operably coupled to the interface and memory such that the processing module, when operable within the computing device based on the operational instructions, is configured to perform various operations. The computing device receives first samples corresponding to inputs that characterize configuration of the DSN and receives second samples corresponding to outputs that characterize system behavior of the DSN. The computing device then processes the first and samples to generate a DSN model to generate predictive performance of the outputs based on various values of the inputs. In some instances, the DSN model is based on a neural network model that employs the inputs that characterize the configuration of the DSN and generates the outputs that characterize system behavior of the DSN.
Public/Granted literature
- US20180307561A1 DEVELOPING AN ACCURATE DISPERSED STORAGE NETWORK MEMORY PERFORMANCE MODEL THROUGH TRAINING Public/Granted day:2018-10-25
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