**8. Real world examples of cloud-edge technology**

There are many real-world examples of cloud-edge technology being used in various industries. Some examples include the following:

*Internet of Things (IoT):* Cloud-edge technology is often used in IoT to process and analyze large amounts of data generated by IoT devices in real-time. For example, a smart city might use edge computing to process data from sensors in real time to adjust traffic lights and reduce congestion. The data can then be sent to the cloud for long-term storage and analysis.

*Autonomous vehicles:* Autonomous vehicles generate huge amounts of data from sensors that need to be processed in real time to make decisions. By using edge computing, the data can be processed locally, reducing the amount of data that needs to be sent to the cloud for processing. This can also reduce the cost of transmitting large amounts of data over long distances.

*Industry 4.0:* Cloud-edge technology is often used in Industry 4.0 to process and analyze large amounts of data generated by industrial equipment and machines in real time. For example, a factory might use edge computing to process data from sensors on machines in real time to improve efficiency and reduce downtime.

*5G networks:* Cloud-edge technology plays a vital role in 5G networks, which helps to reduce the latency and increase the data rate for the end-users.

*Healthcare:* Cloud-edge technology is also used in healthcare, for example, in telemedicine, remote patient monitoring, and in clinical research. Edge computing can be used to process data from medical devices in real time, while the cloud can be used to store and analyze the data.

*Retail:* Retail companies are using cloud-edge technology to support the use of Internet of Things (IoT) devices such as RFID tags and sensors to keep track of inventory and customer behavior in real time.

These are just a few examples of how cloud-edge technology is being used in various industries. As technology continues to evolve, it is likely that more and more companies will begin to adopt cloud-edge technology to improve their operations and stay competitive.

#### **8.1 Market providers of cloud-edge technology**

There are several major market providers of cloud-edge technology, including the following:

*Perspective Chapter: A View – Cloud-Edge Computing Technology DOI: http://dx.doi.org/10.5772/intechopen.111454*


These providers offer a range of services for cloud-edge computing, including software, platforms, and infrastructure for edge computing and Internet of Things applications. They also offer services for data storage, data analytics, and machine learning, to name a few. These providers are well-established, and many have a wide range of customers and partners, which can be a good indication of their experience, scalability, and reliability.

These are just a few examples of cloud-edge technology providers, but as the market is constantly evolving there are many more providers that are emerging and offering similar services. It is important to choose a provider that meets your specific requirements and that has a track record of success in your industry.

#### **9. Conclusion**

Edge computing technology with its advance features associated with IoT, smart mobile connected devices, etc., are bringing processing closer to the end devices. This enables low latency, mobility, low bandwidth, mobility, QoS, etc. This technology will act as a thin line between cloud and device tiers. Edge computing differs with cloud technology in terms of distributed architecture and mobility. Even though edge is having advantages, there are still flaws in cloud computing model that remains as the lead of data that continues to increase. The technology of edge computing further needs improvement, which will help to draw a line between cloud and edge.
