DocumentCode
1829984
Title
A Framework for Predicting Query Response Time
Author
Singhal, Rekha
Author_Institution
TCS Innovation Lab., Mumbai, India
fYear
2012
fDate
25-27 June 2012
Firstpage
1137
Lastpage
1141
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 lOg for implementing the proposed framework.
Keywords
SQL; Web services; query processing; storage management; DB server; OLTP; SLA; SQL query; production database; production hardware; query response time prediction; service level agreement; storage subsystem; Conferences; High performance computing; Data Acess; Execution; Fetching; Large Size Database; Parsing; Query; Response Time; SQL;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on
Conference_Location
Liverpool
Print_ISBN
978-1-4673-2164-8
Type
conf
DOI
10.1109/HPCC.2012.167
Filename
6332302
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