Today, as devices get smarter, wireless connections become faster, Edge Computing plays an increasingly important role. So what is Edge Computing? Please join Adtech to learn through the article below.
What is Edge Computing?
Edge Computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers.
This proximity to data at the source can lead to numerous business benefits, including faster insights, improved response times, and better bandwidth availability.
This proximity to data at the source can lead to numerous business benefits, including faster insights, improved response times, and better bandwidth availability.
Differences between Edge Computing and other computing models
The first computers were large, bulky machines that could only be accessed directly or through terminals that were essentially an extension of the computer. With the invention of the personal computer, computation could take place in a more distributed fashion.
For a long time, the personal computer was the dominant computer model. When the application is live, the data is stored locally on the user’s device or sometimes in an on-premises data center.
Cloud computing offers several advantages over on-premises computing. Cloud services are centralized in a “cloud” (or collection of data centers) managed by the provider and can be accessed from any device over the Internet.
However, cloud computing can cause latency due to the distance between the user and the data center where the cloud services are hosted. Edge computing moves computing closer to the end user to reduce the distance data must travel, while preserving the centralized nature of cloud computing.
The difference between Edge Computing and other computing models is shown as follows:
- Early computing: Centralized applications that run only on an isolated computer
- Personal computing: Decentralized applications that run locally
- Cloud Computing: Centralized Applications Running in the Data Center
Edge Computing App
Edge computing can be integrated into many applications, products, and services. A few examples include:
- Security system monitoring: greatly reducing bandwidth usage, the server can communicate with a large number of cameras without being overloaded.
- IoT devices: Internet-connected smart devices can benefit from running code on the device itself, rather than in the cloud, to interact with users more efficiently. Internet-connected smart devices can benefit from running code on the device itself, rather than in the cloud, to interact with users more efficiently.
- Autonomous Cars: Autonomous cars need to react in real time without waiting for instructions from the server.
more efficient cache: by running code on a CDN edge network, an application can customize how content is cached to serve content more efficiently to users.
Medical monitoring devices: medical devices can respond in real time without waiting for a response from the cloud server.
Video conferencing: interactive live video takes up quite a bit of bandwidth, so moving backend processes closer to the video source can reduce lag and latency.
What are the benefits of Edge Computing?
#1. Cost savings
Edge Computing helps to reduce bandwidth usage and server resources. Bandwidth and cloud resources are finite and expensive. With every home and office equipped with smart cameras, printers, thermostats, etc. Statista predicts that by 2025 there will be more than 75 billion IoT devices installed worldwide. To support all of those devices, a large amount of computation will have to be moved to the edge.
#2. Efficiency
Another significant benefit of moving processes to the edge is reduced latency. Every time a device needs to communicate with a remote server somewhere, that creates a delay.
For example, two colleagues in the same office chatting over an IM platform can experience significant latency because each message has to be routed out of the building, communicating with a server somewhere around the globe, and returned before it appeared on the receiver’s machine. screen. If that process were taken to the edge and the company’s internal router was responsible for relaying office chats, that noticeable delay wouldn’t have existed.
Similarly, when users of all types of web applications encounter processes that have to communicate with external servers, they experience delays. The duration of these delays will vary based on their available bandwidth and the location of the server, but these delays can be completely avoided by bringing more processes to the edge.
#3. New feature
In addition, edge computing offers unprecedented new features.
For example, a company can use edge computing to process and analyze their data at the edge, which is possible in real time.
In summary, the main benefits of Edge computing are:
- Reduce latency
- Reduce bandwidth usage and associated costs
- Reduce bandwidth usage and associated costs
- Support more features
Today, businesses are always looking for ways to improve the performance and reduce operating costs of their IoT products. And one of the ways to do that is to process data outside of the main cloud or at its edge. So, if you are planning to build an IoT application for your business or want to optimize your existing products, then Edge computing can be a safe choice for you.
