


Server is the core infrastructure for building cloud computing and data center. Under the background of continuous heavy public cloud, the server industry is welcoming the turning point of prosperity. This paper focuses on four core issues, and makes an in-depth analysis of the server from the shallow to the deep:
The English name of a Server is "server", which refers to a high-performance computer that provides various services on the network. As a node of the network, it stores and processes 80% of the data and information on the network, so it is also called the soul of the network.
The functions of a server and an ordinary computer are similar. Just compared with ordinary computers, servers require higher stability, security and performance, so the hardware such as CPU, chipset, memory, disk system and network are different from ordinary computers. Specifically, the main differences between servers and ordinary computers include:
1) The communication mode is one-to-many: fixed or mobile network terminals such as PC, tablet, mobile phone, etc., surfing the Internet, obtaining information, communicating with the outside world, entertainment, etc., must go through the server, which organizes and leads these devices through "one-to-many".
2) Resource sharing through network: under the control of the network operating system, the server will provide the connected hard disk, printer, Modem and various special communication devices to the Client sites on the network by listening to the service requests submitted by other clients on the network, and can also provide centralized computing, information publishing and data management services for network users.
3) Hardware performance is more powerful: the high performance of the server is mainly reflected in high-speed computing ability, long-term reliable operation and strong external data throughput.
Server manufacturers will design servers differently according to different application scenarios. At present, the main application scenarios include file interaction, data storage and query, application response and operation.