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Edge Computing

What Is Edge Computing?

  • Edge computing is defined as the deployment of data-handling activities or other network operations away from centralized and always-connected network segments (like Dropbox, Gmail, etc.) and toward individual sources of data capture, such as endpoints like laptops, tablets.
  • It is an extension of cloud computing, and differs in terms of time taken in processing the information. The data is analysed locally, closer to where it is stored, in real-time without latency.
  • It is predicted that edge computing would be the next big trend after cloud. The global market of it ,is forecasted to reach more than $ 8 Billion by 2025 valued growing at more than 32% between 2019-2025.

What is Cloud Computing?

  • It is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software.
  • Rather than keeping files on a proprietary hard drive or local storage device, cloud-based storage makes it possible to save them to a remote database. As long as an electronic device has access to the web, it has access to the data and the software programs to run it.
  • It is a popular option for people and businesses for a number of reasons including cost savings, increased productivity, speed and efficiency, performance, and security.

How Is Edge Computing Different From Cloud Computing?

  • The basic difference between edge computing and cloud computing lies in where the data processing takes place.
  • Internet of Things (IoT) systems perform all of their computations in the cloud using data centres.
  • In Edge computing, massive amounts of data generated by IoT devices are stored and processed locally. That data doesn’t need to be sent over a network as soon as it processed; only important data is sent — therefore, an edge computing network reduces the amount of data that travels over the network.

Advantages of Edge Computing

  • Future Technology Enabled: Technologies such as 5G wireless technology and artificial intelligence enable faster response times, lower latency (delay), and simplified maintenance in computing.
  • Quick: it allows for quicker data processing and content delivery while streaming a video on platforms like Netflix or accessing a library of video games in the cloud.
  • Data-Efficient: That data doesn’t need to be sent over a network as soon as it processed; only important data is sent. Therefore, an its network reduces the amount of data that travels over the network.
  • Localised solution: It is preferred over cloud computing in remote locations, where there is limited or no connectivity to a centralized location. These locations require local storage, similar to a mini data centre, with edge computing providing the perfect solution for it.

How Soon Can Edge Computing Become Part Of Our Lives?

  • Experts believe the true potential of edge computing will become apparent when 5G networks go mainstream in a year from now.
  • Users will be able to enjoy consistent connectivity without even realising it.
  • Nvidia, a big player in the design and manufacture of graphics and AI acceleration hardware, has just announced its EGX edge computing platform.
  • EGX platform will help telecom operators to adopt 5G networks capable of supporting edge workloads.
  • The new Nvidia Aerial software developer kit will help telecom companies build virtualized radio access networks that will let them support smart factories, AR/VR and cloud gaming.