Open AccessImplementation and Application of APM Monitoring System under Big Data of Power Grid
Author(s) -
Yang Shen,
Lin Qiao,
Wei Liu,
Chao Yang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012023
Subject(s) - computer science , bottleneck , baseline (sea) , reliability engineering , real time computing , grid , set (abstract data type) , embedded system , engineering , programming language , oceanography , geometry , mathematics , geology
With the rapid development of smart grid application system and the increasing complexity of information system, the difficulty and importance of data center operation and maintenance management are increasingly prominent. In order to further analyze the existing data under the big data of power grid, improve work efficiency and service quality, a set of scientific and efficient application performance management (APM) monitoring system is proposed. Through the real-time monitoring of power system performance, the latest information about the operation of software and hardware system can be ensured. With the performance data of the system under a series of activities and loads, users can define a performance baseline to represent the acceptable performance under typical operating conditions. This baseline provides a reference point for locating problems more easily. Through scoring system, the health degree of information system operation can be displayed intuitively. Once the score drops, the system is in a non-health state, and the location of the performance bottleneck can be roughly determined by the secondary score. The dispatcher can quickly contact the relevant operation and maintenance team to solve the performance problems, greatly reducing the response time of the performance problems.