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Edge computing

Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data. More broadly, it refers to any design that pushes computation physically closer to a user, so as to reduce the latency compared to when an application runs on a centralized data center.

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Overview

Definition

Concept

Applications

Advanced semantic analysis

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Map overview Semantic statistics

Edge computing

Nodes46
Edges45
Triples50
Avg. degree1.96
Density0.043478
Components1

How this topic connects Entity context

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Edge computing

Top relations

related to Concept · 9
Edge computing → According, At, By, Despite, Furthermore, Gartner, In, IoT, The
related to Efficiency · 9
Edge computing → Additionally, AI, Another, Avoiding, By, Due, If, In, This
related to Privacy and security · 7
Edge computing → Edge, Furthermore, In, Moreover, On, The, This
related to Reliability · 6
Edge computing → As, If, Management, Moreover, Other, To
related to Definition · 5
Edge computing → Edge, However, IEEE DAC, Karim Arabi, MIT MTL Seminar
related to Speed · 4
Edge computing → Edge, Examples, IoT, Some
is a · 1
Edge computing → distributed computing model that brings computation and data storage closer to the sources of data
see also · 1
Edge computing → Content

Important terminology Word statistics

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Important terminology

edge data computing cloud applications network services distributed users devices internet iot nodes times service may device servers computation latency

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Edge computingis adistributed computing model that brings computation and data storage closer to the sources of data0.90text
facial recognitioninstance ofor involving human perception0.80text
which typically takes a human between 370-620 ms to performinstance ofor involving human perception0.80text
augmented realityinstance ofwhich is useful in applications0.80text
where the headset should preferably recognize who a person is at the same time as the wearer does.EfficiencyDue to the nearness of the analytical resources to the end usersinstance ofwhich is useful in applications0.80text
sophisticated analytical toolsinstance ofwhich is useful in applications0.80text
artificial intelligence tools can run on the edge of the systeminstance ofwhich is useful in applications0.80text
where the headset should preferably recognize who a person is at the same time as the wearer doesinstance ofwhich is useful in applications0.80text
MediaPipeinstance ofas well as frameworks0.80text
Edge computingrelated to ConceptIn0.60section
Edge computingrelated to ConceptAccording0.60section
Edge computingrelated to ConceptGartner0.60section

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    Min side: 3
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