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Software-defined networking: History, Works & Applications

Software-defined networking (SDN) is an approach to network management that uses abstraction to enable dynamic and programmatically efficient network configuration to create grouping and segmentation while improving network performance and monitoring in a manner more akin to cloud computing than to traditional network management. SDN is meant to improve…

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Software-defined networking topic overview

The analysis highlights History, Works and Applications as prominent areas in the source structure around Software-defined networking.

Related topics
65
Source areas
10
Connected nodes
75
Extracted relationships
32
Concept neighborhoods
36
Bridge connections
75

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.

History · 17 topics
Overview · 13 topics
Applications · 10 topics
New network architecture · 8 topics
SDN data plane · 8 topics
SDN control plane · 3 topics
Architectural components · 2 topics
Concept · 2 topics
Relationship to DPI · 1 topics
Relationship to NFV · 1 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

History

Concept

New network architecture

Architectural components

SDN control plane

SDN data plane

Applications

Relationship to NFV

Relationship to DPI

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 Software-defined networking connects Entity context

The extracted context around Software-defined networking shows recurring relationship patterns in the source. For example, Software-defined networking → An SD-LAN, LAN, LANs, Local, SD-LAN, SD-LANs Another extracted example is Software-defined networking → An SD-WAN, Control, MPLS, SD-WAN, The, WAN. Use these groups to spot repeated connection types before inspecting the individual relationships.

Software-defined networking

Top relations

related to SD-LAN · 6
Software-defined networking → An SD-LAN, LAN, LANs, Local, SD-LAN, SD-LANs
related to SD-WAN · 6
Software-defined networking → An SD-WAN, Control, MPLS, SD-WAN, The, WAN

Important terminology

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

Important terminology

sdn network data control plane using openflow controller architecture networks applications may forwarding switches use security software nfv networking one

Software-defined networking relationships Subject–Predicate–Object triples

TTTA extracted 32 structured relationships around Software-defined networking. Examples in this analysis include vSDNEmul → instance of → was created.SDN research included emulators and smartphones → instance of → The consumerization of IT Users are increasingly employing mobile personal devices. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
vSDNEmulinstance ofwas created.SDN research included emulators0.80text
EstiNetinstance ofwas created.SDN research included emulators0.80text
and Mininet.Work on OpenFlow continued at Stanfordinstance ofwas created.SDN research included emulators0.80text
including with the creation of testbeds to evaluate the use of the protocol in a single campus networkinstance ofwas created.SDN research included emulators0.80text
as well as across the WAN as a backbone for connecting multiple campusesinstance ofwas created.SDN research included emulators0.80text
smartphonesinstance ofThe consumerization of IT Users are increasingly employing mobile personal devices0.80text
tabletsinstance ofThe consumerization of IT Users are increasingly employing mobile personal devices0.80text
and notebooks to access the corporate networkinstance ofThe consumerization of IT Users are increasingly employing mobile personal devices0.80text
the federation of multiple controllersinstance ofThe controller's definition as a logically centralized entity neither prescribes nor precludes implementation architectures0.80text
the hierarchical connection of controllersinstance ofThe controller's definition as a logically centralized entity neither prescribes nor precludes implementation architectures0.80text
communication interfaces between controllersinstance ofThe controller's definition as a logically centralized entity neither prescribes nor precludes implementation architectures0.80text
nor virtualization or slicing of network resourcesinstance ofThe controller's definition as a logically centralized entity neither prescribes nor precludes implementation architectures0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Software-defined networking bring nearby vocabulary together. In this analysis, examples include Software-defined, Sd-wan and Mobile. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • network management
    • Sdn
    • Plane
    • Control
    • Software-defined
    • Applications
    • Networking
    • Nfv
    • Security
    • Software
    • Architecture
    • Mobile
    • Controllers
  • network packets
    • Sdn
    • Plane
    • Control
    • Applications
    • Networking
    • Nfv
    • Software
    • Mobile
    • Controllers
    • Data
    • Architecture
    • Forwarding
  • data plane
    • Plane
    • Control
    • Sdn
    • Applications
    • One
    • May
    • Hardware
    • Across
    • Multiple
    • Network
    • Forwarding
    • Networks
  • control plane
    • Control
    • Plane
    • Data
    • Sdn
    • Applications
    • Network
    • Forwarding
    • Management
    • Hardware
    • Application
    • One
    • Networks
  • network switches
    • Sdn
    • Plane
    • Control
    • Applications
    • Use
    • Networking
    • Nfv
    • Software
    • Using
    • Mobile
    • Used
    • Controllers
  • network virtualization platform
    • Sdn
    • Plane
    • Control
    • Applications
    • Networking
    • Nfv
    • Software
    • Mobile
    • Controllers
    • Data
    • Architecture
    • Forwarding
  • wide area network
    • Sdn
    • Plane
    • Control
    • Applications
    • Networking
    • Nfv
    • Software
    • Mobile
    • Controllers
    • Data
    • Architecture
    • Forwarding
  • network topology
    • Sdn
    • Plane
    • Control
    • Applications
    • Networking
    • Nfv
    • Software
    • Mobile
    • Controllers
    • Data
    • Architecture
    • Forwarding

Connections between topic areas Semantic bridges

For Software-defined networking, one of the stronger structural bridges in this analysis connects Software-defined networking with History. 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
Software-defined networkingHistory · splits 58 ⟂ 18
Software-defined networkingOverview · splits 62 ⟂ 14
Software-defined networkingApplications · splits 65 ⟂ 11
Software-defined networkingNew network architecture · splits 67 ⟂ 9
Software-defined networkingSDN data plane · splits 67 ⟂ 9
Software-defined networkingSDN control plane · splits 72 ⟂ 4
Software-defined networkingConcept · splits 73 ⟂ 3
Software-defined networkingArchitectural components · splits 73 ⟂ 3

Map overview Semantic statistics

Software-defined networking

Nodes76
Edges75
Triples32
Avg. degree1.97
Density0.026316
Components1

Source & methodology

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

Source: Wikipedia — Software-defined networking · EN edition · Analysis: TopicsToTalkAbout

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