Open AccessResearch on the Method of Information System Equipment Performance Analysis Based on Big Data
Author(s) -
X. Zhu,
PaoHwa Lin,
Yalei Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1883/1/012163
Subject(s) - reliability (semiconductor) , computer science , reliability engineering , information system , baseline (sea) , throughput , response time , big data , stability (learning theory) , order (exchange) , scale (ratio) , resource (disambiguation) , risk analysis (engineering) , data mining , engineering , business , operating system , computer network , power (physics) , oceanography , physics , electrical engineering , finance , quantum mechanics , machine learning , wireless , geology
As the business scale of the information system continues to increase and refined management, the increase in the load of the information system has become increasingly obvious, and the requirements for the reliability and stability of the information system are getting higher and higher. In order to improve the reliability and stability of the information system, a safe and stable performance analysis system must be established. Therefore, first obtain performance indicators such as throughput and response time of the information system. Secondly, establish a performance baseline between load, response time, and resource consumption. At the same time, it is necessary to introduce time, external time and other parameters for big data analysis, and finally conduct a situation assessment of the information system.