IoT is developing rapidly and advancing towards the Internet of Everything (IoE). In the fully connected era, the surge in the number of device connections and amount of IoT data has spurred the development of edge computing technology. Edge Computing IoT innovatively brings the edge computing architecture to the IoT field, and provides data processing, storage, and application at the edge close to things. It addresses the "last mile" issue of IoT communication and implements smart connection and efficient management of IoT devices.
Why Do We Need Edge Computing IoT?
Nowadays, IoT has become a critical force driving a new round of global technological revolution and industrial transformation.
What is IoT? To put it simply, IoT enables things to connect to the Internet, and its ultimate goal is to connect everything.
As IoT technologies develop rapidly, diverse industries are starting digital transformation to connect more and more devices to the Internet. According to the prediction of statistical authorities, the number of connections of global IoT devices will reach 100 billion by the year of 2025. Under this trend, enterprises will face the following challenges:
When massive amounts of data are migrated to the cloud for processing, the lack of real-time data analysis and processing capabilities greatly increases the data processing burden on the cloud.
It is difficult to centrally deploy and manage numerous IoT devices and applications as well as diversified interfaces and protocols.
Edge Computing IoT: Combination of Edge Computing and IoT
Edge computing greatly simplifies processing for massive amounts of terminal data on the cloud.
Edge computing is deployed at the network edge close to things or data sources, and provides edge intelligence services through an open platform that integrates network, computing, storage, and application capabilities. The data collected by terminal devices is directly analyzed and processed locally at the network edge in real time, without the need to be uploaded to the cloud for processing. Edge computing meets the key requirements of industry digitalization for agile connection and real-time data optimization.
The combination of edge computing and IoT technologies gives birth to edge computing IoT. Edge computing IoT introduces the edge computing architecture to the IoT field. An edge computing gateway that integrates network, computing, storage, and application capabilities is deployed at the network edge close to devices or data sources, so that it can provide device management and control services on network edge nodes. As such, edge computing IoT solves the "last mile" issue of industry IoT communication and implements smart connection and efficient management of IoT devices.
What Is Edge Computing IoT Used for?
Edge computing IoT is dedicated to meeting the following requirements:
Adapts to diversified physical interfaces and protocols to enable IoT terminals to quickly and smoothly access the Internet.
Implements unified management of a large number of terminal devices.
Enables local processing of local traffic and implements quick response.
Opens systems for industry collaboration.
The following figure shows the edge computing IoT architecture, which features edge intelligence and cloud management. Through open edge computing capabilities of gateways, edge computing IoT quickly adapts to intelligent data processing requirements of diverse industries, implementing quick response to key services within milliseconds, local aggregation and optimization of data, and proactive backhaul of high-value data to the cloud.
Edge computing IoT architecture
For more information, see Edge Computing IoT
