METHODS AND SYSTEMS FOR CHARACTERIZING COMPUTING SYSTEM PERFORMANCE USING PEER-DERIVED PERFORMANCE SEVERITY AND SYMPTOM SEVERITY MODELS

Patent №

US 11,632,304

Granted

2023-04-18

Filed 2016

Owner

NIMBLE STORAGE, INC.

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15339341

An assessment of computing system performance may include evaluating, within a time window, the average latency of operations of a certain type and size with respect to a peer performance model constructed for operations of the same type and size. Such evaluation may result in the determination of a peer performance score. The peer performance score may be used to label performance characteristics of the computing system that are measured within the same time window. A library of such performance characteristics labeled with respective peer performance scores may be constructed by examining multiple computing systems, and such library may be used to construct one or more symptom models. Each symptom model may map a performance characteristic to a symptom severity score, which indicates the severity of a symptom of the computing system.

Machine learningKnowledge representationPlanningAI hardwareH04L 41/145G06F 11/34H04L 43/0852H04L 43/16G06F 11/3419G06F 11/3452H04L 43/0817

AI classification

Machine learning1.00
AI hardware0.95
Planning0.92
Knowledge representation0.52
Vision0.02
Natural language0.01
Evolutionary computation0.00
Speech0.00

Ownership

NIMBLE STORAGE, INC.

assignment · 401770866

Assignors

SUN, GUOLI, ADAMSON, DAVID NELLINGER, KARAJE, GURUNATHA, SEMITCHEV, VLADIMIR

On an employer assignment, the assignors are typically the inventors.

From the same owner

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