The concept and characteristics of edge computing and the ability to replace cloud computing
The rise of the Internet of Things has led to the rise of a large number of new technologies, and cloud computing is one of them. The emergence of cloud computing and big data has digitized all information, and their presentation and widespread use have changed people's daily work and lifestyle.
Speaking of cloud computing, everyone will definitely nod and say, I know, this I understand. In simple terms, cloud computing is the centralization of computing services. It uses a data sharing center infrastructure and economies of scale to reduce costs in a simple form. That is to say, cloud computing is a pay-per-use model. Available, convenient, on-demand network access.
So, if someone asks you, do you know what is edge computing? Are you stunned?
With the rapid development and widespread application of the Internet of Things, edge devices are shifting from a single role dominated by data consumers to a dual role of data producers and data consumers, while network edge computing is increasingly using real-time data collected. Identify, perform predictive analysis or optimization, intelligent processing and more.
At the same time, according to the estimation of the Cisco Global Cloud Index, by 2019, 45% of the data generated by the Internet of Things will be stored, processed and analyzed at the edge of the network, and the total data traffic of the global data center is expected to reach 10.4 Zebytes (ZB). The Cisco Internet Business Solutions Group predicts that by 2020, the number of wireless devices connected to the network will reach 50 billion, and the application services based on the Internet of Everything will require more time, and will also generate a large amount of data related to personal privacy. Obviously, traditional cloud computing will not be able to efficiently support Internet of Things-based application services, and the edge computing model in the era of edge-based big data processing can solve these problems well.
So what is edge computing?
Edge computing refers to a new computing model that performs calculations at the edge of the network. In the edge computing, the downlink data of the edge represents the cloud service, the uplink data represents the Internet of Everything service, and the edge of the edge computing refers to the path from the data source to the cloud computing center. Any calculations and network resources between.
Edge computing features
Connectivity
Connectivity is the basis of edge computing. The diversity of connected physical objects and the diversity of application scenarios require edge computing with rich connectivity functions such as various network interfaces, network protocols, network topology, network deployment and configuration, and network management and maintenance.
2. Data first entrance
As the bridge between the physical world and the digital world, edge computing has the first entry of ten data. It has a large amount of real-time and complete data. It can manage and value creation based on the data life cycle, which will better support predictive maintenance and asset efficiency. Serial applications such as management.
3. Binding
Edge computing products need to adapt to the relatively harsh working conditions and operating environment of the industrial site, such as anti-electromagnetic, dustproof, explosion-proof, anti-vibration, anti-current / voltage fluctuations.
4. Distribution
The actual deployment of edge computing is naturally distributed.
5. Convergence
The convergence of OT and ICT is an important foundation for the digital transformation of the industry. As the key carrier of "OICT" integration and collaboration, edge computing needs to support collaboration in connection, data, management, control, application, security and so on.
Many people are thinking about a problem after reading edge calculations. Will the emergence of edge computing replace cloud computing?
First let's understand the reasons for the following edge calculations.
1. Insufficient cloud computing services
Cloud computing mostly adopts a centralized management method, which makes cloud services create high economic benefits. In the context of the Internet of Everything, application services require low latency, high reliability, and data security, while traditional cloud computing cannot satisfy The main reasons for these needs are:
1) Real-time, in the IoT environment, edge devices generate a large amount of real-time data, and cloud computing performance is gradually reaching a bottleneck. According to IDC, by 2020, the total amount of global data will be greater than 40ZB. With the increase in the amount of data on edge devices, Network bandwidth is gradually becoming another bottleneck in cloud computing.
2) Privacy protection, when the user uses the e-shopping website, search engine, social network, etc., the user's private data will be uploaded to the cloud center, which contains the user's private data, if the video data is directly uploaded to the cloud data center, the video The transmission of data not only occupies bandwidth resources, but also increases the risk of revealing user privacy data. The edge computing model provides a good privacy protection mechanism for such sensitive data.
3) Energy consumption, for the energy consumption of cloud data centers, as more and more user applications run in cloud computing centers, the demand for energy consumption in large-scale data centers will be difficult to meet in the future. The problem is that the edge computing model proposes to decompose some computing tasks running on the original cloud data center, and then transfer the decomposed computing tasks to the edge nodes for processing, thereby reducing the computing load of the cloud computing center to reduce energy consumption. purpose.
In fact, in many cases, edge computing and cloud computing are symbiotic relationships. With the development and application of technologies such as the Internet of Things, virtual reality, and augmented reality, there will be a big data explosion in the future, if data transmission is based on complete dependence on cloud computing. And processing, will certainly cause huge network delay, and edge computing will process the data at the edge node can effectively reduce the data transmission and processing, but the remote storage of cloud computing is still crucial.
Therefore, edge computing is not a substitute for cloud computing for data transmission and processing.
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