Design and construction of heterogeneous database resource monitoring

碩士 === 國立中正大學 === 雲端計算與物聯網數位學習碩士在職專班 === 107 === When the database management personnel do daily monitoring, if the database system does not use the monitoring software, the weekday resource data will be collected, and the management personnel will use their own familiar tools to image the images, r...

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Bibliographic Details
Main Authors: JHUANG, JYUN-HONG, 莊俊宏
Other Authors: Hsiung, Pao-Ann
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/9gkque
Description
Summary:碩士 === 國立中正大學 === 雲端計算與物聯網數位學習碩士在職專班 === 107 === When the database management personnel do daily monitoring, if the database system does not use the monitoring software, the weekday resource data will be collected, and the management personnel will use their own familiar tools to image the images, resulting in different output chart specifications. Mastering database resources is the basic management capability that database managers need to have. Data collection for management resource usage can be written by management personnel or using monitoring software, while database monitoring software, some will be associated with database system software. Built-in, or purchase of original, third-party monitoring software, monitoring software will have different monitoring items due to different types of management database, each monitoring project may not meet management needs. Therefore, This Thesis through the daily inspection of the database, basic data collection and inspection projects, Oracle and SQLServer are used as the collection targets to standardize resource data collection, and use open source software Dash to build websites and system modular development methods to build resource monitoring system. The resource monitoring system, combined with Chatbot software, provides a database trend graph that can be obtained through mobile devices in non-office areas. After the completion of the project, it is used to improve the uniform specifications and optimized management implementation methods provided by the chart data.