1. What are the main courses in computer cloud computing
Computer calculations rely mainly on operators.
Operator: arithmetic unit, a component of a computer that performs various arithmetic and logical operations. The basic operations of an operator include the four operations of addition, subtraction, multiplication, and division, logical operations such as and, or, not, different or, and operations such as shifting, comparing, and transmitting, also known as arithmetic logic unit (ALU).
An operator consists of an arithmetic logic unit (ALU), an accumulator, a status register, a general-purpose register group, and so on. The basic functions of the arithmetic logic unit (ALU) are the four operations of addition, subtraction, multiplication, and division, logical operations such as and, or, not, different or, and operations such as shift and complement. When the computer is running, the operation of the operator and the type of operation are determined by the controller. The data processed by the operator comes from the memory; the resultant data after processing is usually sent back to the memory or temporarily stored in the operator. With the Control Unit*** with the composition of the core part of the CPU.
The processing object of the operator is data, so the length of the data and the computer data representation, the performance of the operator has a great impact. 70's microprocessors are often 1, 4, 8, 16 binary bits as the basic unit of data processing. Most general-purpose computers, on the other hand, use 16, 32, and 64 bits as the length of data processed by the operator. An operator that can process all the bits of a data
operator
at the same time is called a parallel operator. If only one bit is processed at a time, it is called a serial operator. Some operators process several bits at a time (usually 6 or 8 bits), and a complete piece of data is divided into several segments for computation, called a serial/parallel operator. Operators often process data of only one length. Some can also handle several different lengths of data, such as half-word length operations, double-word length operations, quadruple-word length operations, and so on. Some data lengths can be specified during the operation and are called variable word length operations.
According to the different representation of data, 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 the data, there are address operators and character operators etc.
Its main function is to perform arithmetic and logical operations.
The number of operations an operator can perform and the speed at which it can do them signifies the strength of the operator's ability, and even the ability of the computer itself. The most basic operation of an operator is addition. Adding a number to zero is the same as simply transferring the number. Complementing the code of one number and adding it to another is equivalent to subtracting the former number from the latter. Subtracting two numbers allows you to compare their sizes.
Shifting left and right is a basic operation of an operator. In a signed number, the sign is left alone and only the number is shifted
Operator
The data is shifted by one bit, which is called an arithmetic shift. If the data is shifted along with all the bits of the sign, it is called a logical shift. If the data is logically shifted by linking the highest and lowest bits of the data, it is called a circular shift.
The logical operations of an operator can sum, or, or differentiate between two pieces of data bit by bit, as well as non-substituting each bit of a piece of data. Some operators are also capable of performing 16 logical operations in binary code.
Multiplication and division operations are more complex. Many computers have operators that perform these operations directly. Multiplication is based on the addition operation, by multiplying the number of one or more bits of decoder control one by one to produce part of the product, part of the product is added to the product. Division is often based on multiplication, i.e., a number of factors are selected and multiplied by the divisor to approximate 1, and these factors are multiplied by the divisor to obtain the quotient. Computers that do not have the hardware to perform multiplication and division can programmatically implement multiplication and division, but much more slowly. 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 in succession, and finding the square root.
I hope I can help clear your doubts.
2. What cloud computing is about
Simply put, cloud computing is actually an architecture and methodology that enables large-scale computing through virtualization. In cloud computing, resources and functions are provided as services for users to use. For example, an e-commerce site like amazon handles millions of requests and transactions every day, so how do you ensure processing power, how do you ensure storage, and how do you ensure that this is done in an easy way and with good performance?
Virtualization is key. In fact, virtualization is not limited to server virtualization technologies like VMware or Xen, which run virtual machines. The familiar Java Virtual
Machine,
Hadoop
Distributed
File
System,
Virtual Memory, and so on are actually different kinds of virtualization. Representing resources in an abstract or logical way is virtualization. The resources of a single server are ultimately limited, and through virtualization, the resources of different servers can be provided in a unified and holistic form, so that users can feel like they have a huge and powerful server. For example, Hadoop is an excellent example of virtualization of computing power, Hadoop breaks down a large task into many small tasks through Map, these small tasks are assigned to Hadoop service instances on different servers to compute the intermediate results, and then finally merge the result sets through the receive method. For the requestor of the computation task, he doesn't need to see how many Hadoop instances are behind him and how many servers are concentrating their computational power to perform the computation task, but feels the super high processing power of that "powerful" computer.
Information technology has always revolved around 3 themes: compute, storage, and communications. There are many cloud computing products that address these themes: in computing, there is Amazon
EC2,
App
Engine, etc.; in storage, there is Amazon
S3,
mozy, etc.; in messaging, there is Amazon
S3,
mozy, etc.; and there is Amazon
S3,
S3,
S3,
S3,
mozy, etc. Amazon
SQS and so on.
So who needs cloud computing in China?
I think that small companies with tight funds need, because with cloud computing can save the purchase cost of equipment; data centers need, power consumption is a large part of the cost of data centers, through the cloud can effectively improve resource utilization, reduce power waste; large companies also need, because companies like IBM have tens of thousands of servers within the company, there is the same resource utilization. problem. In fact, the daily life of our ordinary people can not be separated from the cloud computing, such as more and more people through the cell phone access to search, navigation and other Internet services, cloud computing can ensure the quality of service, so that we can really enjoy it.
3. cloud computing need to learn what courses are recommended
Recommended cloud computing courses, learning cloud computing tutorials out of the Qianfeng students say that it is very easy to find a job.
4. cloud computing training to learn what
training to learn what mainly depends on the enterprise needs to use the cloud computing technology involved, such as Chifeng's training courses are the following four stages:
The first stage: the foundation of the cloud computing, including Linux system management and service configuration practices and Linux cloud computing network management practices, learning this stage can lead to Students walk into the world of the network, understand the working principle of redirection, disk array RAID, build enterprise-class switching network;
The second stage: cloud computing advanced, including open source database SQL operation and maintenance practices, Linux Shell automation operation and maintenance programming practices, python automation operation and maintenance development, after learning this stage students can realize MySQL data real-time backup, will be a small file quickly replicated remotely. The massive small files quickly copied to a remote host, build enterprise routing network, operation database, exception handling;
Phase III: cloud computing projects, including large-scale website high concurrency architecture and automation of operation and maintenance projects, public cloud operation and maintenance technology project combat, web security penetration attack and defense project combat, after learning this stage students can ensure that the online rate of the service, to increase the site's concurrency, integration of The fourth stage includes enterprise private cloud containerized architecture operation and maintenance and enterprise-level large-scale comprehensive project practice. After this stage, students can understand container orchestration, deploy kuberes cluster-kubeadm method, and complete the enterprise-level container deployment and cache server environment deployment of ChainLink.com Opportunity. After completing this phase, students can understand container orchestration, deploy kuberes cluster-kubeadm method, and complete the projects of enterprise-level deployment of container-based caching server environment in Chain.com.cn and CI/CD application of large-scale website in Sina based on container environment.
5. Cloud computing in general, cloud computing need to learn what courses
Cloud computing in general: the cloud set up a strong performance of the server, such as: 32-core CPU, 256G memory, N T storage version. In this way, the right configuration of the server is very rich through the virtual machine technology, creating dozens of virtual machines (from the host server hardware configuration of the division of the resource quota); clients through the "Remote Desktop Protocol" or "Remote Control Protocol" to connect to the virtual machine, so that you can be in the local client machine, the virtual machine, the virtual machine, the virtual machine, the virtual machine, and so on. This allows you to use this remote VM on a local client. So all the operations (calculations) are done on this VM, the local client is just input and output (non-local computing). To learn about cloud computing, you can look at openstack, learn more about KVM, etc.
6.
6. What are the main courses in cloud computing
Cloud computing is an Internet-based model for the addition, use, and delivery of related services, usually involving the provision of dynamically scalable and often virtualized resources over the Internet. Cloud is a metaphorical way of saying network and internet. In the past, clouds were often used in diagrams to denote telecommunication networks, but later also used to denote the abstraction of the Internet and the underlying infrastructure. Thus, cloud computing even allows you to experience computing power of 10 trillion times per second, and having that much computing power can simulate nuclear explosions, predict climate change and market trends. Users access data centers through computers, laptops, cell phones, etc., and perform computing on their own terms.
At present, our cloud computing courses are from shallow to deep, step by step, the complete course system, including the combination of Linux network infrastructure, Linux system configuration and service depth analysis, Shell script automation operation and maintenance project development, open-source database MySQL DBA architecture and optimization, the mainstream Web server Nginx architecture optimization, large-scale Web site high-level, and the development and implementation of the project. LVS concurrency projects, high-availability clustering technology, distributed storage technology Ceph, security and defense technology, performance optimization solutions, Python automated operation and maintenance development technology, private cloud platform technology KVM, Openstack, container technology Docker.
The cloud computing learning course outline is as follows:
1. Linux cloud computing network management practice
2. Linux system management and service configuration practice
3. Linux Shell automation operation and maintenance programming practice
4. Open source database SQL/NOSQL operation and maintenance practice
5. . large-scale website high-concurrency architecture and automated operation and maintenance projects
6. website security penetration testing and performance tuning projects
7. public cloud operation and maintenance technology projects
8. enterprise private cloud architecture and operation and maintenance
9. Python automated operation and maintenance development basics
10. Python automated operation and maintenance development projects
11.
7. cloud computing to learn which courses
Listen to my neighbor said that there, you can go to the door to see it. You can also learn more about it in detail.
8. training cloud computing need to learn what courses
cloud computing training can start from scratch, I have learned in the thousand peaks, feel very good, and now are working. If there is anything you do not understand and then ask me
9. cloud computing and big data professional what is the main course
The basics of big data, popular science, individuals go to buy a book on the line, the big data era of the book a lot of introduction to the big data.
In addition, the technology of big data, such as data collection, data access, infrastructure, data processing, statistical analysis, data mining, model prediction, results presentation.
Big data analysis mining and processing, mobile development and architecture, software development, cloud computing and other cutting-edge technologies.
Major 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 and maintenance, big data application development, visualization design and development.
Designed to train students to systematically master data management and data mining methods, to become senior professional big data technology talents with big data analysis and processing, data warehouse management, comprehensive deployment of big data platforms, big data platform application software development and data product visualization presentation and analysis capabilities.
(9) What are the courses in cloud computing Extended reading:
Application areas
Big data technology is infiltrated into every aspect of society, health care, business analysis, national security, food safety, financial security, etc. In 2014, from big data as an important national strategic resource and accelerate the realization of the In 2014, from the height of big data as an important national strategic resource and accelerate the realization of innovation and development, the whole society to form a "data to talk, data to management, data to decision-making, data to innovation" cultural atmosphere and the characteristics of the times.
Big data science will become the core of the development of computer science, artificial intelligence technology (virtual reality, commercial robotics, autonomous driving, and omnipotent natural language processing), digital economy and business, Internet of Things (IoT) applications, and various humanities and social sciences fields.