Cloud computing and big data are both new professions spawned by the Internet

There are three key technologies in cloud computing:

(1) virtualization technology: The virtualization technology of cloud computing is different from the traditional single virtualization.

Cloud computing virtualization technology is different from the traditional single virtualization, which covers the entire IT architecture, including resources, networks, applications and desktops, including the whole system virtualization, its advantage lies in the ability to isolate all the hardware devices, software applications and data, breaking the boundaries of hardware configuration, software deployment and data distribution, to achieve the dynamization of the IT architecture, to achieve the centralized management of resources, so that the application can be dynamically used virtual and physical resources, to improve the system to adapt to the demand and environment.

For information systems simulation, the significance of the application of cloud computing virtualization technology is not only to improve resource utilization and reduce costs, the greater significance is to provide powerful computing power. As we all know, the information system simulation system is a complex system with a large amount of computation, the computational capacity for the system operation efficiency, accuracy and reliability of a great impact, and virtualization technology can be a large number of dispersed, underutilized computing power, integrated into the computation of high-load computers or servers, to achieve the unified scheduling of resources across the network, so as to achieve high efficiency in the storage, transmission, computation and other aspects of multiple computation.

(2) Distributed Resource Management Technology: The information system simulation system in most cases will be in the multi-node concurrent execution environment, to ensure the correctness of the system state, must ensure the consistency of the distribution data. In order to distribute the consistency of the problem, many companies in the computer community and researchers have proposed a variety of protocols, these protocols that is some of the rules to follow, that is, before the emergence of cloud computing, to solve the consistency of the distribution of the problem is to rely on a multitude of protocols. However, for large-scale, or even ultra-large-scale distributed systems, there is no guarantee that each subsystem and sub-system will use the same protocols, and there is no guarantee that the consistency of distribution will be solved. Distributed resource management technology in cloud computing has successfully solved this problem. Google's Chubby is the most famous distributed resource management system, which implements the Chubby service locking mechanism, making the solution to the problem of distribution consistency no longer rely on a protocol or an algorithm, but a unified service (service).

(3) Parallel Programming Technology: Cloud computing uses parallel programming model. In parallel programming mode, concurrent processing, fault tolerance, data distribution, load balancing and other details are abstracted into a function library, through a unified interface, the user's large-scale computing tasks are automatically concurrent and distributed execution, i.e., a task is automatically divided into multiple sub-tasks, and process massive data in parallel.

For the programming of complex systems such as information system simulation, the parallel programming model is a subversive revolution, which is developed on a series of excellent results such as network computing, so it more fully embodies the service-oriented architecture (SOA) technology. It is foreseeable that if this parallel programming model is introduced into the field of information systems simulation, it will bring leapfrog progress in the construction of information systems simulation software.

If you want to learn cloud computing professionally, it takes more time and effort. The course is very good, you can according to their actual needs to go to the field to see, after a good trial, and then choose the right for you. As long as you work hard to learn the real thing, the future will not be bad.