Iometer

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

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Iometer topic overview

The analysis highlights History, Measurement and Companies as prominent areas in the source structure around Iometer.

Related topics: 31
Source areas: 3
Connected nodes: 34
Extracted relationships: 42
Concept neighborhoods: 18
Bridge connections: 34

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Functionality · 14 topics

History · 9 topics

Overview · 8 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in: English
Developers: Intel Corporation, Open Source Development Labs
License: Intel Open Source License
Original authors: Sean Hefty, David Levine, Fab Tillier
Repository: sourceforge.net/projects/iometer/
Stable release: 1.1.0 / 17 December 2014; 11 years ago (2014-12-17)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

I/O Input/output
Subsystem
Tool
Clustered systems Computer cluster
Benchmark Benchmark (computing)
Troubleshooting
Applications Application software
IOPS

History

Functionality

Client–server model
Graphical user interface
Process Process (computing)
Worker threads Thread pool
Asynchronous I/O
Files Computer file
Block devices Block device
File system buffers File system
Disk Disk storage
Disk Sector
User User (computing)
Exponentially Exponential function
Linearly Linearity
.CSV file Comma-separated values

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.

How Iometer connects Entity context

The extracted context around Iometer shows recurring relationship patterns in the source. For example, Iometer → Created, Daniel Scheibli, David Levine, Experiencing, Fab Tillier, February, IDF, In, Intel, Intel Corporation, Intel Developer Forum, Intel Open Source License, Iometer About, November, On, Open Source Development Lab, Sean Hefty, Since, SourceForge Another extracted example is Iometer → Access Specifications, Asynchronous I/O, Configurable, Dynamo, I/O, Maximum Disk Size, Outstanding I/Os, Starting Disk Sector, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 19

Iometer → Created, Daniel Scheibli, David Levine, Experiencing, Fab Tillier, February, IDF, In, Intel, Intel Corporation, Intel Developer Forum, Intel Open Source License, Iometer About, November, On, Open Source Development Lab, Sean Hefty, Since, SourceForge

related to Functionality · 9

Iometer → Access Specifications, Asynchronous I/O, Configurable, Dynamo, I/O, Maximum Disk Size, Outstanding I/Os, Starting Disk Sector, This

related to External links · 3

Iometer → Iometer Project, Project, SourceForge

Available in · 1

Iometer → English

Developers · 1

Iometer → Intel Corporation, Open Source Development Labs

License · 1

Iometer → Intel Open Source License

Original authors · 1

Iometer → Sean Hefty, David Levine, Fab Tillier

Repository · 1

Iometer → sourceforge.net/projects/iometer/

Stable release · 1

Iometer → 1.1.0 / 17 December 2014; 11 years ago (2014-12-17)

Type · 1

Iometer → Benchmark program

Important terminology

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

Important terminology

tool one measurement benchmark intel development sourceforge net applications project file allows developers user sean hefty david levine fab tillier

Iometer relationships Subject–Predicate–Object triples

TTTA extracted 42 structured relationships around Iometer. Examples in this analysis include Iometer → Available in → English and Iometer → Developers → Intel Corporation, Open Source Development Labs. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Iometer	Available in	English	1.00	infobox
Iometer	Developers	Intel Corporation, Open Source Development Labs	1.00	infobox
Iometer	License	Intel Open Source License	1.00	infobox
Iometer	Original authors	Sean Hefty, David Levine, Fab Tillier	1.00	infobox
Iometer	Repository	sourceforge.net/projects/iometer/	1.00	infobox
Iometer	Stable release	1.1.0 / 17 December 2014; 11 years ago (2014-12-17)	1.00	infobox
Iometer	Type	Benchmark program	1.00	infobox
Iometer	Website	www.iometer.org	1.00	infobox
Iometer	is a	I/O subsystem measurement and characterization tool for single and clustered systems	0.90	text
the 'Maximum Disk Size'	instance of	Iometer allows the configuration of disk parameters	0.80	text
'Starting Disk Sector' and	instance of	Iometer allows the configuration of disk parameters	0.80	text
Iometer	related to External links	Iometer Project	0.60	section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Iometer bring nearby vocabulary together. In this analysis, examples include Net, Sourceforge and Available. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Iometer
- Net
- Sourceforge
- Available
- Outstanding
- Allows
- One
- Project
- Tool
- Corporation
- David
- Developers
- Fab
iometer
- Net
- Sourceforge
- Available
- Outstanding
- Allows
- One
- Project
- Tool
- Corporation
- David
- Developers
- Fab
tool
- Corporation
- David
- Developers
- Fab
- Hefty
- Iops
- Levine
- Sean
- Tillier
- Troubleshooting
- Allowing
- Available
benchmark
- Corporation
- David
- Developers
- Fab
- Hefty
- Levine
- Sean
- Tillier
- Troubleshooting
- Tool
- Applications
- Available
intel corporation
- David
- Developers
- Fab
- Hefty
- Levine
- License
- Open
- Release
- Sean
- Source
- Tillier
- Development
developers
- Corporation
- Fab
- Hefty
- Levine
- Sean
- Tillier
- Available
- February
- Intel
- License
- Open
- Release
open source development lab
- License
- Release
- Source
- February
- Intel
- Open
- Sean
- Tillier
- Fab
- Hefty
- Levine
- Available
intel developer forum
- License
- Open
- Release
- Source
- Development
- Corporation
- Levine
- Sean
- Tillier
- Available
- February
- Net

Connections between topic areas Semantic bridges

For Iometer, one of the stronger structural bridges in this analysis connects Iometer with Functionality. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Iometer — Functionality · splits 20 ⟂ 15

Iometer — History · splits 25 ⟂ 10

Iometer — Overview · splits 26 ⟂ 9

Map overview Semantic statistics

Iometer

Nodes35

Edges34

Triples42

Avg. degree1.94

Density0.057143

Components1

Source & methodology

TTTA analyzes the structure around Iometer to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Iometer · EN edition · Analysis: TopicsToTalkAbout