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What are cloud computing technologies?Jun 28, 2023 pm 05:00 PM
cloud computing technology

The key technologies of cloud computing include: virtualization, distributed file system, distributed database, resource management technology, energy consumption management technology, information security, etc.

What are cloud computing technologies?

Cloud computing is a type of distributed computing, which refers to the decomposition of huge data computing processing programs into countless small programs through the network "cloud". Then, these small programs are processed and analyzed through a system composed of multiple servers to obtain the results and return them to the user. The current stage of cloud computing is the result of the mixed evolution and leap of computer technologies such as distributed computing, utility computing, load balancing, parallel computing, network storage, hot backup redundancy, and virtualization.

The key technologies of cloud computing include: virtualization, distributed file system, distributed database, resource management technology, energy consumption management technology, information security, etc.

Virtualization is one of the most important core technologies of cloud computing. It provides infrastructure-level support for cloud computing services and is the main driving force for ICT services to rapidly move towards cloud computing. Many people have misunderstandings about cloud computing and virtualization, thinking that cloud computing is virtualization. But in fact, virtualization is only an important part of cloud computing, but it cannot represent all cloud computing. The biggest benefit of virtualization is to enhance the elasticity and flexibility of the system, reduce costs, improve services, and improve resource utilization efficiency. From a performance perspective, virtualization is divided into two application modes. One is to virtualize a powerful server into multiple independent small servers to serve different users. The second is to virtualize multiple servers into a powerful server to complete specific functions. The core of both models is unified management, dynamic allocation of resources, and improved resource utilization. In cloud computing, these two models have many applications.

Distributed data storage technology, by storing data in different physical devices, It can achieve dynamic load balancing, automatic takeover of failed nodes, and has high reliability, high availability, and high scalability. Because in a multi-node concurrent execution environment, the status of each node needs to be synchronized, and when a single node fails, the system needs an effective mechanism to ensure that other nodes are not affected. This model not only gets rid of the limitations of hardware devices, but also has better scalability and can quickly respond to changes in user needs. By using multiple storage servers to share the storage load and using location servers to locate storage information, it not only improves the reliability, availability and access efficiency of the system, but is also easy to expand.

Resource management technology. Cloud computing requires the processing and analysis of distributed and massive data. Therefore, data management technology must be able to efficiently manage large amounts of data. The platform management technology of cloud computing systems requires the ability to efficiently allocate a large number of server resources so that they can work better together. Conveniently deploying and opening new services, quickly discovering and recovering system faults, and achieving reliable operation of large-scale systems through automated and intelligent means are the keys to cloud computing platform management technology.

Energy management technology. The benefits of cloud computing are obvious, but as its scale grows, the energy consumption of cloud computing itself cannot be ignored. The first step to improve energy efficiency is to upgrade network equipment, add energy-saving modes, and reduce power consumption when network facilities are not fully used. In addition to reducing the energy consumption of data transmission, optimizing the network structure can also reduce the transmission power of the base station, because the base station is the bridge between the cloud and the terminal to transmit information. New low-power cache technologies can be combined with existing technologies to reduce energy consumption while maintaining performance. Using a compact server configuration and simply removing unused components is also a good way to reduce energy loss.

information security. Data shows that security has become one of the main reasons hindering the development of cloud computing. Cloud security can be said to be a problem left over from the traditional Internet, but on the cloud computing platform, security issues have become more prominent. In the cloud computing system, security involves many levels, including network security, server security, software security, system security, etc. Now both software security vendors and hardware security vendors are actively developing cloud computing security products and solutions. I believe that in the near future, cloud security issues will be well resolved.

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