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Epoll: Bugs, Triggering modes & Overview

epoll is a Linux kernel system call for a scalable I/O event notification mechanism, first introduced in version 2.5.45 of the Linux kernel in October, 2002. Its function is to monitor multiple file descriptors to see whether I/O is possible on any of them. It is meant to replace the older POSIX select(2) and poll(2) system calls, to achieve better…

Language: English [EN]
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Epoll topic overview

The analysis highlights Bugs, Triggering modes and Overview as prominent areas in the source structure around Epoll.

Related topics
14
Source areas
3
Connected nodes
17
Extracted relationships
20
Concept neighborhoods
12
Bridge connections
17

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.

Overview · 9 topics
Bugs · 3 topics
Triggering modes · 2 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.

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

Triggering modes

Bugs

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 Epoll connects Entity context

The extracted context around Epoll shows recurring relationship patterns in the source. For example, Epoll → ADD, Controls, Creates, DELETE, It, Linux, MODIFY, Theflagsparameter Another extracted example is Epoll → Bryan Cantrill, EPOLLEXCLUSIVEwas, EPOLLONESHOTwas, February, However, Linux, March, Solaris. Use these groups to spot repeated connection types before inspecting the individual relationships.

Epoll

Top relations

related to API · 8
Epoll → ADD, Controls, Creates, DELETE, It, Linux, MODIFY, Theflagsparameter
related to Bugs · 8
Epoll → Bryan Cantrill, EPOLLEXCLUSIVEwas, EPOLLONESHOTwas, February, However, Linux, March, Solaris
related to Triggering modes · 3
Epoll → For, In, Suppose
is a · 1
Epoll → Linux kernel system call for a scalable I/O event notification mechanism

Important terminology

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

Important terminology

file descriptors event data kernel linux kqueue waitwill return call version system operate edge-triggered level-triggered see events mode toepoll older

Epoll relationships Subject–Predicate–Object triples

TTTA extracted 20 structured relationships around Epoll. Examples in this analysis include Epoll → is a → Linux kernel system call for a scalable I/O event notification mechanism and Epoll → related to API → Creates. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Epollis aLinux kernel system call for a scalable I/O event notification mechanism0.90text
Epollrelated to APICreates0.60section
Epollrelated to APITheflagsparameter0.60section
Epollrelated to APIIt0.60section
Epollrelated to APILinux0.60section
Epollrelated to APIControls0.60section
Epollrelated to APIADD0.60section
Epollrelated to APIMODIFY0.60section
Epollrelated to APIDELETE0.60section
Epollrelated to BugsBryan Cantrill0.60section
Epollrelated to BugsSolaris0.60section
Epollrelated to BugsHowever0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Epoll bring nearby vocabulary together. In this analysis, examples include Edge-triggered, Linux and Event. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • system calls
    • Operate
    • Posix
    • User-space
    • Data
    • Calls
    • Descriptor
    • Large
    • Monitored
    • Number
    • Object
    • Older
    • Set
  • file descriptor
    • Operate
    • Posix
    • User-space
    • Descriptor
    • File
    • Monitored
    • Number
    • Object
    • Returns
    • See
    • Watched
    • Events
  • Epoll
    • Edge-triggered
    • Linux
    • Event
    • New
    • Value
    • Call
    • Level-triggered
    • Mode
    • Version
    • Kernel
    • Return
    • Waitwill
  • epoll
    • Edge-triggered
    • Linux
    • Event
    • New
    • Value
    • Call
    • Level-triggered
    • Mode
    • Version
    • Kernel
    • Return
    • Waitwill
  • linux kernel
    • Version
    • Linux
    • Large
    • Older
    • System
    • Operate
    • Posix
    • User-space
    • Calls
    • Descriptor
    • Monitored
    • Number
  • event ports
    • Maxeventsis
    • Edge-triggered
    • Level-triggered
    • Modes
    • Monitored
    • New
    • Number
    • Ofepoll
    • Returns
    • Set
    • System
    • Value
  • kqueue
    • Operate
    • Posix
    • User-space
    • Descriptor
    • Large
    • Monitored
    • Number
    • Object
    • Older
    • Set
    • System
    • Watched
  • level-triggered
    • Mode
    • Toepoll
    • Return
    • Waitwill
    • Maxeventsis
    • Modes
    • New
    • Set
    • Value

Connections between topic areas Semantic bridges

For Epoll, one of the stronger structural bridges in this analysis connects Epoll with Overview. 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
Epoll — Overview · splits 8 ⟂ 10
Epoll — Bugs · splits 14 ⟂ 4
Epoll — Triggering modes · splits 15 ⟂ 3

Map overview Semantic statistics

Epoll

Nodes18
Edges17
Triples20
Avg. degree1.89
Density0.111111
Components1

Source & methodology

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

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

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