Views: 82 Author: Site Editor Publish Time: 2019-11-26 Origin: Site
Through the previous article, we learned what is data center and data center’s value and common faults. Today, this article mainly introduces fault handling of data center and development prospects.
Generally speaking, the data center is complicated because of its components, and the faults also show different ways of expression. Therefore, we must firstly understand the phenomenon of failure. For example, in the application aspect, the payment system cannot pay, the heat sink and the cold water plate cannot work normally, and then the relevant failure points should be checked one by one. We need to collect and organize several common faults in the data center network, and search them according to the phenomenon.
All application services are based on the normal operation of these physical hardware, and some hardware problems will lead to failure. According to the performance of the fault, it is necessary to perform screening checks for each part to be eliminated, and finally determine the location of the fault point.
In the case of a computer system failure, this failure requires the establishment of a failure model for diagnosis. Through the stratified measurement method, a limited number of units are established, and other units are diagnosed by a matrix and a firefly algorithm, and finally, which unit or units of the faulty system are determined. You can also use the mirroring, traffic statistics, and other means to determine the scope of the device where the fault is located, and then narrow the scope to focus on one or several devices.
When troubleshooting, collect information such as logs, diagnoses, and operation records of the device, and summarize the data to establish a fault database. For common problems, it can be “appeared and processed”, and information collection is beneficial to find the cause of the failure and ensure a healthy and smooth operation of the data center network.
In the information age, data centers have also brought convenience and economic benefits to more companies. In the future development, the data center will also become the asset of enterprise competition, and the business model will change accordingly. With the widespread use of data centers, artificial intelligence, network security, etc. have also emerged, and more users have been brought to the network and mobile phone applications. With the increase in the amount of computers and data, people can also improve their ability through continuous learning and accumulation, which is an important symbol of the information age.
The data center is a strategic resource as important as human resources and natural resources. In the data industry in the information age, we need to use data on a large scale and flexibly, so that we can better use the data to promote the rapid and efficient development of the data center industry. It reflects the great wisdom of enterprise development.
