Design and implementation of distributed system and cloud computing architecture

Author: Zen and the Art of Computer Programming

What is a distributed system?

In computer science, a distributed system is a computer system in a networked environment of hardware and software. It is composed of multiple computers connected to each other through a network to cooperate with each other to complete tasks. The characteristic of a distributed system is that the system is composed of different nodes (computer, processor, storage device, etc.), and each node communicates through the network. Therefore, distributed systems are generally divided into three types—distributed computing systems, distributed database systems, and distributed file systems. Distributed computing systems are used for large-scale parallel processing, distributed database systems are used for high-reliability data storage, and distributed file systems are used for distributed storage of massive data. The problem solved by the distributed system is how to expand the stand-alone system to multiple machines, with high availability, scalability, load balancing, fault tolerance and other characteristics. For some application scenarios, distributed systems can effectively improve overall performance, save resources and reduce costs. However, the complexity of distributed systems also makes their management, deployment and maintenance very difficult.

What is cloud computing?

Cloud computing is a service provider's computing service model, which is to open users' resources through the network, allowing third-party software providers or companies to purchase and rent these resources online. Based on this service model, cloud computing platforms continue to grow and become more and more complete, safe, and reliable, and can meet users' needs for various services such as big data, cloud computing, mobility, and Web applications. Cloud computing helps to improve business efficiency, reduce operating costs, and also reduce IT resource investment and downtime. However, cloud computing still faces many problems. It mainly includes problems such as high cost, complexity, uncontrollable service quality, and inability to guarantee data security. For this reason, cloud computing needs to be further improved and optimized to improve the stability and reliability of the system.

Why study distributed systems and cloud computing?

1. Learning distributed systems and cloud computing can help developers better understand the architecture of the modern Internet and the Internet of Things. The complexity of distributed systems involves many technologiesÿ

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Origin blog.csdn.net/universsky2015/article/details/131746321