Figure 1 Different mobile devices have different computing capabilities
As business leaders and IT decision makers continue to make digital transformation the priority of 2018, the Internet of Things (IoT) will become one of the largest corporate technology trends. However, the deployment of the Internet of Things usually requires information processing and decision making, and processing as close as possible to the source of the data, ie the Internet of Things (IoT) device itself. For cost and delay considerations, many companies do not send this information to the cloud or an internal centralized data center, but instead want to integrate edge computing into their infrastructure.
Figure 2 Concepts and Functions of the Internet of Things
Edge computing is especially useful when time is critical. For example, an industrial use case is the use of Internet of Things (IoT) equipment to monitor oil and gas pipelines. Techniques that can quickly detect leaks or other anomalies can be used to improve or replace time-consuming, dangerous and expensive manual inspections and automatically alert the right person to ensure the problem is resolved. In this use case, decentralized edge distributed computing can significantly reduce response time.
Figure 3 Simple connection object
Many of today's digital businesses rely on the cloud to meet their computing needs. Although this will continue to be an important part of business operations, the development trend of the Internet of Things will also make the investment in computing solutions closer to the edge. For IoT-supported communications where time and delay can be a serious problem, keeping computing power on the edge, close to these devices can help provide the lowest possible latency.
Figure 4 Application of Internet of Things in smart city
What networking technologies can enterprises adopt to improve the efficiency of IoT devices?
There are many concerns about the IoT device itself, and the consideration of network connectivity is usually much less, although connectivity improves its communications. Fast inter-device communication and edge computing architectures require a strong underlying network. Moreover, for many Internet of Things scenarios, the public Internet and public cloud architectures are less suitable for hosting time-sensitive critical communications. The Internet of Things data being processed in the cloud is transmitted over the Internet, and the Internet seems to be an inexhaustible resource. In fact, the capacity of the Internet is limited, and there are many performance and security holes in the open architecture. Given the risks of these vulnerabilities, digital services should use a dedicated network with edge computing capabilities to transfer data between IoT devices and bypass the public Internet to ensure that information moves in the fastest and most secure manner.
Figure 5 Edge calculation application
What is the impact of the Internet of Things initiative relying on cloud computing and the Internet? The Internet that relies on cloud computing and Internet of Things deployment introduces at least two potential problems:
Latency: Cloud computing needs to send data from the IoT device to the cloud to gain any insight or take action locally. These cloud data centers are usually far away from the data source, causing delays. In addition, this kind of data transmission takes place on the public Internet, which is a best-effort service that may encounter congestion, which may increase latency problems. These issues are particularly acute for IoT deployments that require rapid processing and response to IoT data. When delays of the order of milliseconds are important, companies cannot afford to delay important information.
Figure 6 Edge Computing and Smart Water
Security: Cloud services are provided over the Internet, and the Internet is inherently open, making it more vulnerable to malicious attacks and other security issues. For companies that use IoT devices, relying on the public Internet to access IoT infrastructure and transport IoT data can expose important information to third parties that may be used in a harmful way.
Figure 7 Edge Computing and Intelligent Building
What are the benefits of using a private edge cloud network to meet the edge computing requirements? 
Figure 8 Edge Computing and Smart Grid
By using a private edge cloud network to connect IoT devices and drive edge computing workloads, businesses can access IoT data in the “fast lane†to achieve the following functions:
Improve overall performance/reduce latency: Private edge cloud networks are useful for performance-sensitive applications, making them an important supporting technology for IoT devices and edge computing. Because data processing is closer to the device itself (eliminating the need to transfer data from the cloud), and by isolating communications from the public Internet, critical information is acquired faster.
Figure 9 Edge Computing and Smart Retail
Greater security: By isolating IoT communications from the public Internet, private networks can quickly detect and mitigate harmful attacks such as Distributed Denial of Service (DDoS) attacks.
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