Cloud computing is the development and application of parallel computing, distributed computing and grid computing. Cloud computing is the result of the hybrid evolution and advancement of computer technologies such as distributed computing, utility computing, load balancing, parallel computing, network storage, hot backup redundancy, and virtualization.
The operating environment of this tutorial: Windows 7 system, Dell G3 computer.
Cloud computing is the development and application of parallel computing, distributed computing and grid computing.
Cloud computing is a type of distributed computing, which refers to decomposing huge data computing processing programs into countless small programs through the network "cloud", and then through multiple departments The system consists of servers that process and analyze these applets to get the results and return them to the user. In the early days of cloud computing, to put it simply, it was simple distributed computing, solving task distribution and merging calculation results. Therefore, cloud computing is also called grid computing. Through this technology, tens of thousands of data can be processed in a very short time (a few seconds), thereby achieving powerful network services.
The cloud service mentioned at this stage is not just a kind of distributed computing, but also computer technologies such as distributed computing, utility computing, load balancing, parallel computing, network storage, hot backup redundancy and virtualization. The result is a mix that evolves and leaps forward.
Features
The valuable features of cloud computing are its high flexibility, scalability and high performance ratio. Compared with the traditional network application model, it has The following advantages and characteristics:
1. Virtualization technology.
It must be emphasized that virtualization breaks through the boundaries of time and space and is the most significant feature of cloud computing. Virtualization technology includes application virtualization and resource virtualization. As we all know, there is no spatial connection between the physical platform and the application deployment environment. It is through the virtual platform that data backup, migration and expansion are completed for corresponding terminal operations.
2. Dynamically expandable.
Cloud computing has efficient computing capabilities. Adding cloud computing functions to the original server can rapidly increase the computing speed, and ultimately achieve the purpose of dynamically expanding the level of virtualization to expand applications.
3. Deploy on demand.
Computers contain many applications, program software, etc. Different applications correspond to different data resource libraries, so users need strong computing power to deploy resources to run different applications, and cloud computing platforms can deploy resources according to user requirements. needs to be quickly equipped with computing power and resources.
4. High flexibility.
Most IT resources, software, and hardware currently on the market support virtualization, such as storage networks, operating systems, and development software and hardware. Virtualization elements are unified and managed in the virtual pool of cloud system resources. It can be seen that cloud computing has very strong compatibility. It can not only be compatible with low-configuration machines and hardware products of different manufacturers, but also enable higher-performance computing with peripherals.
5. High reliability.
If the server fails, it will not affect the normal operation of computing and applications. Because a single-point server fails, applications distributed on different physical servers can be restored through virtualization technology or new servers can be deployed for computing using the dynamic expansion function.
6. High cost performance.
Placing resources in a virtual resource pool for unified management optimizes physical resources to a certain extent. Users no longer need expensive hosts with large storage space. They can choose relatively cheap PCs to form a cloud, which reduces costs on the one hand. , on the other hand, the computing performance is not inferior to that of the mainframe.
7. Scalability.
Users can take advantage of the rapid deployment conditions of application software to expand existing and new services they need more simply and quickly. For example, if an equipment failure occurs in a computer cloud computing system, users will not be hindered either at the computer level or in specific applications. They can use the dynamic expansion function of computer cloud computing to handle other problems. The server scales efficiently. This ensures that tasks are completed in an orderly manner. In the case of dynamic expansion of virtualized resources, applications can be efficiently expanded and the operating level of computer cloud computing can be improved.
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