Preface – This post is part of the Edge Computing series.

Introduction

Edge computing helps to get cloud-based services on the network and process the data near the source data. Edge computing has assisted in providing that data at low latency and network infrastructure. Eat utilizing intelligent sensors that can help to get the locations directly of any device or product. Many edge computing Technology dives into the network infrastructure to perform real-time analysis at a low cost. People are interested in edge computing due to its agile and low-cost infrastructure. Here we will learn about five major edge computing Technology.

Edge Computing Technologies

Multi-access Edge Computing (MEC)

MEC, also known as Mobile Edge Computing, helps to place computational and storage resources in RAN(radio access network). The technology helps improve the network’s efficiency and the quality of content delivery on the client side. It has also helped to adapt radio links and vanished the need for backhauling. It also helps manage the load and divide the traffic to maintain content delivery on time.

Fog Computing

Fog Computing arrives from the word forging, which means decentralized computing infrastructure. It helps to extend the cloud computing data centers over the edge network. It has to select the storage and place the data in the right place from which the fetching and loading process can be done quickly and effectively. The chosen location for storing the data is between the source and delivery data, known as out in the fog. Then the information is selected and shifted to similar devices for analyzing process.

Cloudlets

Cloudlets are small-scale data centers that help to enhance mobility. The architecture of the cloud lights is similar to the second tier of the three-tier hierarchy. It improves the interaction with the mobile application and provides low latency to mobile devices closer to geographical locations. Eat uses a 5G network to support resource applications and modern technology to make other processes such as machine learning, language processing, and speech recognition. The primary function of this technology is to decrease the latency with a vast area network (WAN).

Micro Data Centers

Edge computing utilizes IoT that helps to develop innovative devices and sensors. Micro data center Technology will help to make a suggestion of reasonable data center solutions that can help to generate good worth. These are smaller but can manage edge network computing to deploy services globally. Basically, it is a component of the data center that is small in size and can deploy in any condition. Due to their small size, they had to make data sources very easy to deploy.

Cloud of Things

COT has been developed to process some services on the end user side. This technology has increased the power of edge computing networks and mobile and IoT devices. The most important thing is that this technology is capable of all the devices we use in our homes. COD enables to increase of the power of new intelligent devices. This technology has enabled virtualization, which is location friendly and helps deploy real-time environmental data.

Conclusion

Here we have covered the five important edge computing Technology that is working with the help of IoT and 5G network to make the future generation more powerful. Due to all these five edge computing Technologies, the feasibility is increased, and cloud computing services can support mobile applications.