Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Self-Monitoring, Analysis and Reporting Technology

Self-Monitoring, Analysis, and Reporting Technology (contrived acronym S.M.A.R.T. or SMART) is a monitoring system included in computer hard disk drives (HDDs) and solid-state drives (SSDs). Its primary function is to detect and report various indicators of drive reliability, or how long a drive can function while anticipating imminent hardware failures.

Standards, History, Art & Technology

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Self-Monitoring, Analysis and Reporting Technology. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

History and predecessors

IBMIBM 9337Disk ArraysAS/400Predictive failure analysis
17 related topics

Standards and implementation

MotherboardsUSBFireWireFibre ChannelSATA
13 related topics

In ATA

HexadecimalCelsiusUtility softwareSamsungHitachi
11 related topics

Provided information

Technical documentationAT AttachmentSCSIPower failureMs
6 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Background

History and predecessors

Provided information

Standards and implementation

In ATA

In SCSI

Self-tests

  • RAM Random-access memory

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Self-Monitoring, Analysis and Reporting Technology

Nodes71
Edges70
Triples3
Avg. degree1.97
Density0.028169
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

drive may attributes ata drives failure hard disk attribute smart value data threshold sectors log monitoring system information scsi technology

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
mechanical wearinstance ofPredictable failures which result from slow processes0.80text
gradual degradation of storage surfacesinstance ofPredictable failures which result from slow processes0.80text
a temperature sensor or only include a few select attributes while still allowing the manufacturer to advertise the product asinstance ofor expected features0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.