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The difference between edge computing and cloud computing
The form of calculation is closely related to the cost of the network. The form of calculation distribution is a dynamic balance between the cost of data transmission in the network and the calculation benefit .
Cloud computing provides super and efficient computing power based on a large number of centralized computing resources. A high degree of intensification brings a reduction in the unit computing power cost, but relatively, the transmission cost of data from the center to the terminal is relatively high.
Edge computing is a distributed open platform (architecture) that integrates the core capabilities of network, computing, storage, and application at the edge of the network close to the source of things or data, and provides edge intelligent services nearby to meet the needs of industry digitalization in agile connection, real-time business, and data. Optimization, application intelligence, security and privacy protection are key requirements. Edge computing is the product of cloud computing technology and network evolution.
Mobile edge computing provides cloud computing services at the edge by deploying corresponding edge computing infrastructure at the edge of the wireless access network or inside the wireless base station. At the same time, it can also connect to the private cloud within the enterprise network to implement hybrid cloud services. Generally speaking, the core equipment of the system is built on the general IT hardware platform, which can provide a virtualized operating environment based on the platform and support third-party applications to run in the virtual environment.
Compared with the centralized deployment model of traditional cloud computing, edge computing solves the problems of large aggregated traffic and extended communication time, and provides better support for high-bandwidth and low-latency services.
Cloud computing and edge computing have their own strengths. Cloud computing can play its advantages in business decision support, periodic maintenance and other fields. It is good at long-period, non-real-time, and global big data processing and analysis; and the user-side business is nearby Edge computing can play its strengths in real-time intelligent processing.