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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Singhal, R. |
| Copyright Year | 2012 |
| Abstract | In a typical OLTP environment, emphasis has been given on promising Service level Agreements (SLAs) for perceived query elapsed response time; the SQL queries are tested on the small size of database which may be a fraction of the production database. As time progresses the database grows and the earlier optimized queries may not hold SLA anymore. Once the application is deployed, it becomes difficult to modify the application or alter the production system. In this paper, we have discussed a framework for predicting the SQL query response time with growth of the database while being transparent to the production hardware, storage subsystem and DB Server. We have discussed various factors which can impact query response time and are also affected by the increase in the data size. We have presented a theoretical model for predicting the elapsed response time of SQL queries and also discussed a case study of Oracle 10g for implementing the proposed frame work |
| Starting Page | 1137 |
| Ending Page | 1141 |
| File Size | 369005 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467321648 |
| DOI | 10.1109/HPCC.2012.167 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-25 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Execution Conferences High performance computing Query Parsing Fetching Response Time Large Size Database SQL Data Acess |
| Content Type | Text |
| Resource Type | Article |
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