Database Performance Tuning Methods for Manufacturing Execution System
In manufacturing industry where data are produced and shared every day, data volumes could be large enough for the database performance to become an issue. Manufacturing Execution System (MES) is such a system that cannot tolerate with poor database performance as the system relies heavily on real...
Saved in:
| Main Authors: | , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
IDOSI Publications
2014
|
| 主題: | |
| 在線閱讀: | http://eprints.utem.edu.my/id/eprint/12143/1/Norazah.pdf http://eprints.utem.edu.my/id/eprint/12143/ |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | In manufacturing industry where data are produced and shared every day, data volumes could be
large enough for the database performance to become an issue. Manufacturing Execution System (MES) is such
a system that cannot tolerate with poor database performance as the system relies heavily on real-time reporting
that requires instance query responses. Manufacturing products’ quality and production targets can be
affected as the result of delayed queries. Therefore, the need to maintain the acceptable level of database
performance in this domain is crucial. One task in maintaining database performance is identification and
diagnosis of the root causes that may cause delayed queries. Poor query design has been identified as one
major cause of delayed queries that affect real-time reporting. Nevertheless, as various methods available to
deal with poor query design, it is important for a database administrator to decide the method or combination
of methods that work best. In this paper, we present a case study on the methods used by a real manufacturing
industry company called as Silterra and the methods proposed in the literature that deal with poor query design.
For each method, we elicit its strength and weaknesses and analyse the practical implementation of it. |
|---|