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What are the five core technologies of cloud computing? I believe many inexperienced people don't know what to do about it. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

What are the core technologies of cloud computing? First of all, we need to understand cloud computing, as a data service center, it is built through virtualization technology. Cloud computing plays a very important role, it can realize the resource utilization of storage, computing, memory, network and so on. Generally speaking, the five core technologies of cloud computing are divided into distributed storage, virtualization technology, distributed resource management, intelligent management platform and programming model. Let's take an in-depth analysis of these five core technologies.

1. Distributed storage:

Distributed storage is used to integrate a large number of servers into a supercomputer, providing massive data storage and processing services. Distributed file system and distributed database allow access to common storage resources to achieve IO sharing of application data files. Our cloud storage system addresses both data security and IO issues. Individual service providers save 3 copies of data at the expense of IO speed, only a very low IO speed. Other domestic cloud vendors generally use local array storage, although the IO is fast, but the reliability is not high. When the local hardware or storage is damaged, the business interruption time is longer. Another advantage of cloud computing is that it can deal with large amounts of data quickly and efficiently. In today's data explosion, this is crucial. In order to ensure the high reliability of data, cloud computing usually uses distributed storage technology to store data in different physical devices. This mode not only gets rid of the limitations of hardware devices, but also has better scalability and can quickly respond to changes in user needs.

Distributed storage is not exactly the same as traditional network storage. Traditional network storage systems use centralized storage servers to store all data. Storage servers become the bottleneck of system performance and can not meet the needs of large-scale storage applications. The distributed network storage system adopts a scalable system structure, uses multiple storage servers to share the storage load, and uses the location server to locate and store information. it not only improves the reliability, availability and access efficiency of the system, but also is easy to expand.

2. Virtualization technology:

Virtualization is one of the most important core technologies of cloud computing, which provides infrastructure support for cloud computing services. Technically speaking, virtualization is a form of computing that simulates computer hardware in software and provides services for users with virtual resources. The purpose of this paper is to allocate computer resources reasonably and make them provide services more efficiently. It breaks the physical division between the hardware of the application system, so as to realize the dynamic architecture and the centralized management and use of physical resources. The biggest advantage of virtualization is to enhance the flexibility and flexibility of the system, reduce costs, improve services, and improve resource utilization efficiency.

From the form of expression, virtualization is divided into two application modes. One is to virtualize a powerful server into several 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 these two modes is unified management, dynamic allocation of resources and improvement of resource utilization. In cloud computing, these two models have more applications. The virtualization platform virtualizes more than 1000 server clusters into multiple performance-configurable virtual machines (VM), monitors and manages all VM in the whole cluster system, and flexibly allocates and schedules resource pools according to the actual resource usage.

3. Distributed resource management

Cloud computing uses distributed storage technology to store data, so it is natural to introduce distributed resource management technology. In the multi-node concurrent execution environment, the state of each node needs to be synchronized, and when a single node fails, the system needs an effective mechanism to ensure that other nodes will not be affected. The distributed resource management system is such a technology, and it is the key to ensure the state of the system.

In addition, cloud computing systems often deal with huge resources, ranging from hundreds of servers to tens of thousands of servers, and may span multiple regions at the same time. And there are thousands of applications running in the cloud platform. How to manage these resources effectively and ensure that they provide services normally requires strong technical support. Therefore, the importance of distributed resource management technology can be imagined. The major cloud computing solutions / service providers around the world are actively carrying out the research and development of related technologies. Among them, the Borg technology used in Google is highly praised by the industry. In addition, cloud computing giants such as Microsoft, IBM and Oracle/Sun all have corresponding solutions.

4. Intelligent management platform

Cloud computing resources are large in scale, with a large number of servers and distributed in different locations, and hundreds of applications are running at the same time. How to effectively manage these servers and ensure that the whole system provides uninterrupted services is a great challenge. The platform management technology of cloud computing system needs to have the ability to deploy a large number of server resources efficiently and make it work better together. Among them, the key to cloud computing platform management technology is to deploy and open new services conveniently, quickly find and recover system faults, and achieve reliable operation of large-scale systems by automatic and intelligent means.

For providers, there are three deployment models for cloud computing, namely, public cloud, private cloud, and hybrid cloud. The requirements of the three modes for platform management are quite different. For users, due to the different control of ICT resource sharing, system efficiency requirements and ICT cost budget, the scale and manageable performance of cloud computing systems required by enterprises are also very different. Therefore, the cloud computing platform management scheme should take more into account the customization needs, and can meet the application needs of different scenarios.

Many vendors, including Google, IBM, Microsoft, Oracle/Sun and so on, have cloud computing platform management solutions. These solutions can help enterprises achieve infrastructure integration, unified management, unified distribution, unified deployment, unified monitoring and unified backup of enterprise hardware and software resources, and break the monopoly of applications on resources. so that the value of enterprise cloud computing platform can be brought into full play.

5. Programming model

MapReduce is the java, Python and C++ programming model developed by Google. It is a simplified distributed programming model and efficient task scheduling model, which is used for parallel computing of large-scale data sets (larger than 1TB). Strict programming model makes programming in cloud computing environment very simple. The idea of MapReduce mode is to decompose the problem to be executed into Map (mapping) and Reduce (simplification). First, the data is cut into irrelevant blocks by Map program, which is assigned (scheduled) to a large number of computers for processing, so as to achieve the effect of distributed operation, and then the results are aggregated and output through Reduce program.

After reading the above, have you mastered what are the five core technologies of cloud computing? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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