edge computing

USAGE SUMMARY

'edge computing' is a correct and commonly used phrase in written English.
Edge computing typically refers to computing functions that are performed near the edge of the network, close to the source of the data. A common example of edge computing might be a self-driving car that is able to interpret and react to its environment without needing to send data to a remote server.

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

2. Edge computing.

Forbes

IoT is the primary driver of edge computing.

Forbes

Swim.ai has an interesting take on edge computing.

TechCrunch

Another transformational technology telecoms can offer their customers is edge computing.

Forbes

Edge computing fundamentally changes the cloud by making it distributed and decentralized.

Forbes

Startups such as FogHorn Systems and Vapor IO are building new business models around edge computing.

Forbes

The edge computing layer will run machine learning models that bring intelligence to connected devices.

Forbes

The rise of IoT and machine learning are accelerating the adoption of edge computing.

Forbes

From IoT to smart cities, the next generation user experiences are heavily dependent on edge computing.

Forbes

He attributed that change to the Foundation's focus on edge computing.

TechCrunch

This paper comprehensively presents a tutorial on three typical edge computing technologies, namely mobile edge computing, cloudlets, and fog computing.

Digital Communications and Networks

Expert writing Tips

Best practice

When discussing "edge computing", clearly define its role in relation to cloud computing to avoid ambiguity. Highlight how it complements or differs from cloud-based solutions.

Common error

Avoid using "edge computing" and cloud computing interchangeably. While related, edge computing emphasizes processing data closer to its source, reducing latency and bandwidth usage, whereas cloud computing centralizes processing in remote data centers.

Linguistic Context

The primary grammatical function of "edge computing" is that of a noun phrase, often used as a subject or object in sentences. As Ludwig indicates, it refers to a distributed computing model.

Expression frequency: Very common

Frequent in

News & Media

40%

Science

35%

Formal & Business

20%

Less common in

Academia

5%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "edge computing" is a commonly used noun phrase referring to a distributed computing model where data processing takes place near the source. As Ludwig AI confirms, the phrase is grammatically correct and widely used across various professional contexts. The primary benefit of edge computing is reduced latency and enhanced data security, making it suitable for applications like self-driving cars and smart cities. Related concepts include distributed computing and fog computing. When discussing edge computing, be sure to distinguish it clearly from cloud computing to avoid confusion.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

network edge processing

Specifies that processing occurs at the edge of a network.

local data processing

Stresses the processing of data near its source.

fog computing

Highlights a type of distributed computing closer to the cloud than edge computing.

endpoint processing

Highlights the processing that happens at the very end of the network.

distributed computing

Focuses on the distribution of computing resources across multiple locations rather than proximity.

near-device processing

Emphasizes the closeness of processing to the device generating the data.

decentralized computing

Emphasizes the distribution of control and decision-making in computing.

proximity computing

Highlights the importance of physical proximity in computing.

on-site processing

Focuses on the location where the processing occurs.

localized computing

Focuses on the regional or local aspect of computing.

FAQs

How does "edge computing" differ from cloud computing?

"Edge computing" processes data closer to the source, reducing latency. Cloud computing involves centralized, remote data processing.

What are some real-world applications of "edge computing"?

"Edge computing" is used in self-driving cars, smart cities, and industrial IoT to enable real-time decision-making.

Why is "edge computing" becoming increasingly important?

"Edge computing" is crucial for applications requiring low latency and high bandwidth, and enhances data security by processing data locally.

What are the benefits of using "edge computing" over traditional cloud solutions?

"Edge computing" reduces latency, conserves bandwidth, and enhances privacy compared to cloud solutions. It's ideal for time-sensitive applications.