In the data age, both human activities and machine operations will generate all kinds of massive data. In the process of combing and screening data, computer computing is essential. LoRa wirelss modem In order to reduce limitations such as the cost of local computer computing power, more and more enterprises have chosen cloud computing and edge computing. Today, let’s talk about the difference between the two.
edge computing
Edge computing refers to the practice of running workloads on distributed devices, often on large networks. This type of computation occurs near the physical location of the data source or user. Instead of sending data to the cloud, or pushing it to a central data center, it allows applications to be processed in real time at a physical location close to the end user.
Simply put, edge computing is to deploy computing resources close to the network edge side of users and data sources, and perform calculations through locations closer to data sources (such as routers, base stations), providing users with high bandwidth, low latency, low energy consumption, high Secure Computing Services. The range of edge computing applications is particularly wide, and can even be seen everywhere, such as unmanned driving, smart factories, smart agriculture, smart energy, unmanned retail, etc.
Has the following advantages:
1. Improved accuracy
In AI intelligent recognition, the system relies on high-precision models, especially for the needs of real-time response. When the network bandwidth is too low, the system typically degrades the data quality of the input model, which can lead to reduced image sizes, frame skipping in video, and lower sample rates in audio. However, using edge computing can run multiple models at the same time, and use data feedback loops to improve the accuracy of AI models, which is less affected by network quality.
2. No need for network deployment
Internet access is a requirement for traditional cloud computing. But edge computing can process data locally without access to the internet, extending computing to previously inaccessible or remote locations. In addition, since the processing occurs at the edge, the cloud needs to process less data, and the pressure on cloud operation and maintenance is reduced.
3. Security
Edge computing allows organizations to keep all sensitive data and computations within local area networks and corporate firewalls while data is being processed at the point of collection, which reduces the risk of cybersecurity attacks and better compliance with strict and ever-changing data laws.
▍Cloud Computing
I believe everyone is very familiar with the word “cloud computing”. Cloud computing is a kind of centralized computing. Its processing method is to upload all data to the cloud data center or server with concentrated computing resources for processing. Any request to access the information must be sent to the cloud for processing.
The core concept of cloud computing is to take the Internet as the center, provide fast and secure cloud computing services and data storage on the website, so that everyone who uses the Internet can use the huge computing resources and data centers on the network.
Has the following advantages:
1. Low cost
There is no need to purchase hardware, software, and capital expenditures for 24/7 power supply and cooling electricity. Industrial Router/Gateway Enterprises only need to pay for the computing resources used. Cloud computing enables enterprises to quickly bring applications to the market with a lower capital threshold.
2. Strong adaptability
The cloud platform provides a time-sharing function to support user business traffic peaks in different scenarios. When the business traffic increases, the resource capacity can be expanded through automatic expansion of the program or manual operation. When the business traffic decreases, it can also be adjusted in the same way.
3. Multi-site storage
Data can be stored in multiple sites of the cloud provider’s network, without wasting time configuring dedicated servers and networks. Through cloud computing architecture, enterprises can deploy applications in a very short time.