1. What are the main courses of computer cloud computing?

Computer calculation mainly depends on arithmetic unit.

Arithmetic unit: Arithmetic unit, a part of a computer that performs various arithmetic and logical operations. The basic operations of an arithmetic unit include four operations of addition, subtraction, multiplication and division, logical operations such as AND, OR, NOR and XOR, and operations such as shift, comparison and transmission, which are also called arithmetic logic unit (ALU).

Arithmetic unit consists of arithmetic logic unit (ALU), accumulator, status register and general register group. The basic functions of arithmetic logic operation unit (ALU) are four operations of addition, subtraction, multiplication and division, logical operations such as AND, OR, NOR and XOR, and operations such as shift and complement. When the computer is running, the operation and operation type of the arithmetic unit are determined by the controller. The data processed by the arithmetic unit comes from the memory; The processed result data is usually sent back to the memory or temporarily stored in the arithmetic unit. Together with the control unit * * *, it constitutes the core part of the CPU.

The processing object of the arithmetic unit is data, so the data length and computer data representation method have great influence on the performance of the arithmetic unit. In 1970s, microprocessors usually used 1, 4, 8 and 16 binary bits as the basic units for processing data. Most general-purpose computers use 16, 32 and 64 bits as the length of data processing. Available for data

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Operators that process all bits at the same time are called parallel operators. If only one bit is processed at a time, it is called a serial operator. Some operators can handle several bits at a time (usually 6 or 8 bits) and divide a complete data into several segments for calculation. This operator is called serial/parallel operator. Arithmetic units usually only process data of one length. Some can also handle data of several different lengths, such as half-word length operation, double-word length operation and four-word length operation. Some data lengths can be specified in the operation process, which is called variable word length operation.

According to different data representations, there can be binary operators, decimal operators, hexadecimal operators, fixed-point integer operators, fixed-point decimal operators, floating-point operators and so on. According to the nature of data, there are address operators and character operators.

Its main function is to perform arithmetic and logical operations.

The number and speed of operations that an operator can complete show the strength of the operator and even the computer itself. The most basic operation of arithmetic unit is addition. Adding a number to zero is equivalent to simply passing the number. Adding the code complement of one number to another number is equivalent to subtracting the previous number from the latter number. Subtract two numbers to compare their sizes.

Left-right shift is the basic operation of arithmetic unit. In signed numbers, symbols do not move, only move.

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Bitwise, it is called arithmetic shift. If all bits of data and symbols move together, this is called a logical shift. If the most significant bit of data is connected with least significant bit for logical shift, it is called cyclic shift.

The logical operation of the operator can AND, or and XOR two data bit by bit, and negate each bit of a data. Some operators can also perform the 16 logical operation of binary code.

Multiplication and division operations are complicated. Many computer arithmetic units can directly perform these operations. Multiplication is based on addition. One or several bits of the multiplier are decoded to generate partial products, and the partial products are added to obtain products. The division rule is often based on multiplication, that is, several factors are selected and multiplied by the divisor to make it approximate to 1, and these factors are multiplied by the dividend to get the quotient. Computers without hardware for multiplication and division can realize multiplication and division with programs, but the speed is much slower. Some operators can also perform complex operations, such as finding the largest number in a batch, performing the same operation on a batch of data continuously, and finding the square root.

I hope it can help you solve the problem.

2. What does cloud computing learn?

Simply put, cloud computing is actually the architecture and method to realize large-scale computing through virtualization technology. In cloud computing, resources and functions are provided to users as services. For example, e-commerce websites like Amazon need to handle millions of requests and transactions every day. How to ensure processing power and storage, and how to ensure that these can be done in a simple way and with good performance?

Virtualization is the key. In fact, virtualization is not limited to the server virtualization technology provided by VMware or Xen to run virtual machines. Familiar Java virtualization

Machines,

Hadoop

distributed

document

System,

Virtual memory and so on are actually different kinds of virtualization technologies. Representing resources in an abstract or logical way is virtualization. The resources of a single server are limited after all. Through virtualization, the resources of different servers can be provided in a unified whole form, thus making users feel that they have a super-large and powerful server. For example, Hadoop, which is now in full swing, is actually an excellent example of virtualization of computing power. Hadoop decomposes a big task into many small tasks through Map, and assigns these small tasks to Hadoop service instances on different servers for calculation, and calculates the intermediate results. Finally, the result set is merged by rece method. For the requester of computing tasks, he doesn't need to see how many Hadoop instances behind him concentrate the computing power of how many servers to perform computing tasks, but feels the super processing power of that "extremely powerful" computer.

In fact, information technology has been around three themes, namely "computing", "storage" and "communication". There are already many cloud computing products corresponding to these topics: in terms of computing, there is Amazon.

EC2，

Google

app; application

Engine and so on; In the storage field, there is Amazon.

S3，

Mosquitoes and so on. News exchange has Amazon.

SQS, etc.

So who needs cloud computing in China?

I think small companies with tight funds need it, because using cloud computing can save the purchase cost of equipment; Data center demand, power consumption is a large part of data center cost, and cloud computing can effectively improve resource utilization and reduce power waste; Large companies also need it, because companies like IBM have tens of thousands of servers, and there are also problems in resource utilization. In fact, our ordinary people's daily lives are also inseparable from cloud computing. For example, more and more people access various Internet services such as search and navigation through mobile phones. Cloud computing can guarantee the quality of service and let us really enjoy it.

3. What courses do you need to learn in cloud computing? Do you have any recommendations?

Recommend the cloud computing course of Qianfeng, and the students who have studied the cloud computing course of Qianfeng say that they are good at finding a job.

4. What does cloud computing training learn?

What to learn in training mainly depends on the technologies involved in cloud computing that enterprises need. For example, the training course for strikers is divided into the following four stages:

The first stage: the foundation of cloud computing, including Linux system management and service configuration and Linux cloud computing network management. After learning this stage, students can be led into the network world, understand the working principle of redirection and RAID disk array, and build an enterprise-level switching network.

The second stage: advanced cloud computing, including SQL operation and maintenance of open source database, automatic operation and maintenance programming of Linux Shell and automatic operation and maintenance development of python. After learning this stage, students can realize real-time backup of MySQL data, quickly copy a large number of small files to remote hosts, build an enterprise-level routing network, operate databases, and handle exceptions.

The third stage: cloud computing projects, including large-scale website high concurrency architecture and automatic operation and maintenance projects, public cloud operation and maintenance technology projects and web security penetration attack and defense projects. After learning this stage, students can ensure the online rate of services, improve the concurrency of websites, integrate Kafka and ELK, and build a log collection platform and a web security infiltration laboratory.

The fourth stage: including the actual operation and maintenance of enterprise private cloud containerized architecture and the actual exercise of enterprise-level large-scale comprehensive projects. After learning this stage, students can understand the container arrangement, deploy kuberes cluster -kubeadm mode, complete the deployment of enterprise-level cache server environment of opportunity container in chain home network, and the practical application of CI/CD, a large Sina website based on container environment.

5. The popular explanation of cloud computing, what courses does cloud computing need to learn?

Generally speaking, cloud computing: set up a powerful server in the cloud, such as: 32-core CPU, 256G memory, N T storage versions. On such a server with abundant power configuration, dozens of virtual machines are created through virtual machine technology (resource quotas are divided from the hardware configuration of the host server); The client connects to the virtual machine through Remote Desktop Protocol or Remote Control Protocol, so that you can use the remote virtual machine on the local client. All operations (calculations) are completed on this virtual machine, and the local client only inputs and outputs (non-local calculations). To learn about cloud computing, you can look at openstack and learn more about KVM.

6. What courses do you mainly study in cloud computing?

Cloud computing is a mode of increasing, using and delivering related services based on the Internet, which usually involves providing dynamically scalable and often virtualized resources through the Internet. Cloud is a metaphor of network and internet. In the past, cloud was often used to represent telecommunication networks, and later it was also used to represent the abstraction of the Internet and the underlying infrastructure. So cloud computing can even let you experience the computing power of 10 trillion times per second. Such a powerful computing power can simulate a nuclear explosion and predict climate change and market development trends. Users access the data center through computers, notebooks, mobile phones, etc. , and calculate according to your own needs.

At present, our cloud computing course is a complete course system from the simple to the deep, step by step. Including network foundation combined with Linux actual combat, Linux system configuration and service in-depth analysis, Shell script automatic operation and maintenance project development, MySQL DBA architecture and optimization of open source database, Nginx architecture optimization of mainstream Web server, LVS actual combat scheme of large-scale website high concurrency project, high-availability cluster technology, distributed storage technology Ceph, security defense technology, performance optimization scheme, Python automatic operation and maintenance development technology, private cloud platform technology KVM, Openstack, container technology Docker and so on.

The outline of cloud computing learning course is as follows:

1.Linux Cloud Computing Network Management Practice

2.Linux system management and service configuration.

3.Linux Shell automatic operation and maintenance programming actual combat

4. Open source database SQL/NOSQL operation and maintenance.

5. High concurrency architecture of large-scale websites and automatic operation and maintenance projects

6. Website security penetration test and performance tuning project actual combat

7. Actual combat of public cloud operation and maintenance technology project

8. Enterprise private cloud architecture and operation and maintenance actual combat

9.Python Automation Operation and Maintenance Development Foundation

10.Python automatic operation and maintenance development project actual combat

7. What courses does cloud computing take?

I heard from my neighbor that there is. Come and see for yourself. You can learn more about it by the way.

8. What courses are needed to cultivate cloud computing?

Cloud computing training can start from scratch. I am studying in the forward, and I feel very good. Now I'm working. Ask me if you don't understand anything.

9. What are the main courses of cloud computing and big data?

The basic knowledge of big data, popular science, individuals can buy a book. In the era of big data, many books are introducing big data.

In addition, big data technologies, such as data collection, data access, infrastructure, data processing, statistical analysis, data mining, model prediction and result presentation.

Cutting-edge technologies such as big data analysis, mining and processing, mobile development and architecture, software development and cloud computing.

Main courses: object-oriented programming, Hadoop practical technology, data mining, machine learning, statistical analysis of data, advanced mathematics, Python programming, JAVA programming, database technology, Web development, Linux operating system, big data platform construction and operation, big data application development, visual design and development, etc.

It aims to train students to master data management and data mining methods systematically, and become senior professional big data technical talents with the abilities of big data analysis and processing, data warehouse management, comprehensive deployment of big data platform, application software development of big data platform, and visual display and analysis of data products.

(9) What courses are there for further reading cloud computing?

application area

Big data technology has penetrated into all aspects of society, such as health care, business analysis, national security, food security, financial security and so on. 20 14 regards big data as an important strategic resource of the country and accelerates the realization of innovation and development, and has formed a cultural atmosphere and characteristics of the times in the whole society of "speaking with data, managing with data, making decisions with data, and innovating with data".

Big data science will become the core of computer science, artificial intelligence technology (virtual reality, commercial robots, autonomous driving, all-round natural language processing), digital economy and commerce, Internet of Things applications and various humanities and social sciences.