云计算包括哪些技术(云计算技术包括什么技术)

1. Many technologies are used in cloud computing systems, including programming models, data management technology, Data storage technology, virtualization technology, and cloud computing platform management technology are more critical.

2. The core 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 toward cloud computing.

3. The core technologies of cloud computing include virtualization, distributed file systems, distributed databases, resource management technology, energy consumption management technology, information security, etc.

4. Virtualization technology 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. It can be said that without virtualization technology, there would be no implementation and success of cloud computing services.

5. The core idea of ​​cloud computing is to uniformly manage and schedule a large number of computing resources connected by the network to form a computing resource pool to provide on-demand services to users. "Cloud" is a network that provides resources.

1. The key technologies of Google cloud computing mainly include: Google file system GFS, distributed computing programming model MapReduce, distributed lock service Chubby and distributed structure Globalized data storage system BigTable, etc.

2. As of 2018, the main application technologies of cloud computing are as follows: Cloud security is a new term evolved from "cloud computing".

3. 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. Energy management technology.

4. The key technologies of cloud computing mainly include data storage technology, data management technology and programming model.

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

The core technology of cloud computing system: parallel computing. Parallel Computing refers to the process of using multiple computing resources to solve computing problems at the same time. It is an effective means to improve the computing speed and processing power of computer systems.

For example, if you plan to work in the field of big data and nosql, you need to master Hadoop, Hbase, Cassandra and some theories (CAP, Base, etc.); if you want to work on cloud platforms (Iaas, Paas) , you can study virtualization technology (kvm, hyper-v, etc.), OpenStack, esxi and other technologies.

The key technologies of cloud computing mainly include data storage technology, data management technology and programming model.

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. Energy management technology.

The key technologies of cloud computing include the following directions: Virtual machine technology Virtual machine, that is, server virtualization, is an important cornerstone of the underlying architecture of cloud computing.

The core technologies of cloud computing include virtualization, distributed file systems, distributed databases, resource management technology, energy consumption management technology, information security, etc.

Function: Relatively simple cloud computing technology has been widely used in today's Internet services. The most common ones are online search engines and web mailboxes. Search engine At any time, as long as you use a mobile terminal, you can search for any resources you want on the search engine, and share data resources through the cloud.

The key technologies of CloudComputing are: FO software development method. This is a software development method that is further abstracted on top of "object-oriented". Its purpose is to solve the more serious software crisis problem faced by CloudComputing software system.

Cloud computing covers a wide range of areas, with a data communications background and authoritative certification, which increases the influence in this field. So what are the skills of cloud computing?

Cloud computing systems use many technologies, among which programming models, data management technology, data storage technology, virtualization technology, and cloud computing platform management technology are the most important.

(1 )Programming model

MapReduce is a java, Python, and Chop programming model developed by Google. It is a simplified distributed programming model and an efficient task scheduling model, used for parallel computing of large-scale data sets (more than 1TB) .The strict programming model makes programming in the cloud computing environment very simple. The idea of ​​the MapReduce model is to decompose the problem to be executed into Map (mapping) and Reduce (simplification). First, the data is cut into irrelevant blocks through the Map program , allocate (schedule) a large amount of computer processing to achieve the effect of distributed computing, and then summarize and output the results through the Reduce program.

(2) Massive data distributed storage technology

Cloud The computing system consists of a large number of servers and serves a large number of users at the same time. Therefore, the cloud computing system uses distributed storage to store data and ensure the reliability of the data through redundant storage. Data storage systems widely used in cloud computing systems It is an open source implementation of HDFS developed by the Google GFS and Hadoop teams.

GFS is the Google File System.

System) is a scalable distributed file system for large, Distributed and accessing large amounts of data. The design concept of GFS is different from traditional file systems. It is designed for large-scale data processing and Google's application features. It runs on cheap ordinary hardware, but can provide fault tolerance. It can be used for Provide services with high overall performance to a wide range of users.

A GFS cluster consists of a master server and a large number of block servers, and is accessed by many clients. The master server stores the metadata of the file system, including namespace, Access control information, mapping from files to blocks and the current location of blocks. Also controls system-wide activities such as block lease management, orphan block garbage collection, and block transfers between block servers. The master server periodically passes HeartBeat information Communicate with each block server, issue instructions to the block server, and collect its status. Files in GFS are divided into 64MB blocks, with redundant storage, and each data is stored in the system with more than 3 backups.

The replacement of the client and the main server is limited to metadata operations, and all data communications are directly connected to the block server, which greatly improves the efficiency of the system and prevents the main server from being overloaded.

(3 )A large amount of data management technology

Cloud computing needs to process and analyze a large amount of distributed data, so data management technology must be able to effectively manage large amounts of data. The data management technology in cloud computing systems is mainly Google BT (BigTable) Data management technology and the open source data management module HBase developed by the Hadoop team.

In recent years, various technologies and products such as virtualization, distributed data storage, data management, and information security have developed vigorously, promoting cloud computing technology innovation. It not only monopolizes the delivery model of traditional ICT systems, but also changes the way information is provided. The traditional business model is quietly changing. So, what is the core technology of cloud computing?

Virtualization technology: one of the most important core technologies. Providing infrastructure-level support for cloud computing services is the main driving force for ICT services to rapidly move towards cloud computing.

Distributed data storage technology: Store data in different physical devices, getting rid of the reality of hardware devices. At the same time, it has better scalability, can process large amounts of data faster and more effectively, and better handle changes in user needs.

Large-scale data management: Cloud computing must not only ensure the storage and access of data, but also perform specific retrieval and analysis of large-scale data. Data management technology must be able to effectively manage large amounts of data.

Information security: In cloud computing systems, security involves network security, server security, software security, system security and other levels.

Cloud computing platform management: requires efficient allocation of a large number of server resources , has better cooperation capabilities, facilitates the deployment and opening of new services, quickly detects and recovers system failures, and achieves reliable operation of large-scale systems through automated and intelligent means.