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.
AI classification
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.