云计算的关键技术领域包括(云计算的关键技术分哪些)

The key technologies that make up cloud computing include virtualization technology, elastic expansion technology, distributed storage technology, and automated operation and maintenance technology.

1. Virtualization technology: Virtualization technology is the foundation of cloud computing. It abstracts physical resources (such as servers, storage devices, networks) into virtual resources, allowing multiple virtual machines or containers to run on the same server. Run on a physical device.

2. Elastic expansion technology: Elastic expansion technology allows the scale of cloud computing resources to be automatically adjusted according to demand. By monitoring system load and performance, computing, storage, and network resources can be automatically increased or decreased to meet user needs.

3. Distributed storage technology: Distributed storage technology disperses data on multiple physical devices to improve data reliability and access efficiency.

4. Automated operation and maintenance technology: Automated operation and maintenance technology includes automated deployment, configuration management, monitoring and fault recovery, etc. Through these technologies, various resources and services in the cloud computing environment can be automatically managed, improving efficiency and reducing the cost of manual operations.

5. Security and privacy protection technologies: The cloud computing environment faces security and privacy challenges, so it is necessary to adopt a series of security and privacy protection technologies. This includes measures such as data encryption, identity authentication, access control, security monitoring and privacy protection.

The significance of cloud computing

1. The significance of cloud computing is to realize distributed computing through dynamic, easily scalable and often virtualized resources provided by the Internet. The hybrid evolution and leap of computer technologies such as computing, utility computing, load balancing, parallel computing, network storage, hot backup redundancy and virtualization.

2. Through cloud computing, tens of thousands of data can be processed in a short time (a few seconds), thereby achieving powerful network services. The significance of cloud computing lies not only in its efficiency and processing power, but also in its ability to reduce equipment requirements and operating costs, improve data security and reliability, and provide a wider range of resource sharing and access methods.

1. Cloud computing is the development and commercial realization of concepts such as distributed processing, parallel computing and grid computing. Its technical essence is computing and storage. Virtualization of IT software and hardware resources such as servers, application software, etc. Cloud computing has its own unique technologies in virtualization, data storage, data management, and programming models.

2. The five key technologies of cloud computing are as follows: cloud computing platform management technology, distributed computing programming model, distributed massive data storage, massive data management technology, and virtualization technology.

3. 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 toward cloud computing. Many people have misunderstandings about cloud computing and virtualization, thinking that cloud computing is virtualization.

The five key technologies of cloud computing are as follows: cloud computing platform management technology, distributed computing programming model, distributed massive data storage, and massive data management technology , virtualization technology.

1. Cloud computing platform management technology: The platform management technology of cloud computing systems can enable a large number of servers to work together, facilitate business deployment and activation, and quickly discover and recover system failures.

2. Distributed computing programming model: Cloud computing adopts a simple distributed parallel programming model Map-Reduce. Map-Reduce is a programming model and task scheduling model. It is mainly used for parallel operations of data sets and scheduling of parallel tasks.

3. Distributed massive data storage: Cloud computing systems use distributed storage to store data and use redundant storage to ensure data reliability. The redundant method ensures low cost through task decomposition and clustering, and uses low-end machines to replace the performance of supercomputers. This method ensures the high availability, high reliability and economy of distributed data, that is, storing multiple copies of the same data. .

4. Massive data management technology: The data management technology in cloud computing systems is mainly Google's BTsT~lO data management technology and the open source data management module HBase developed by the Hadoop team.

5. Virtualization technology: refers to the fact that computing components run on a virtual basis rather than a real basis. It can expand the capacity of hardware, simplify the software reconfiguration process, and reduce the overhead and related costs of software virtual machines. Support a wider range of operating systems.