DocumentCode :
3269140
Title :
Benchmarking SAP R/3 archiving scenarios
Author :
Zeller, Bernhard ; Kemper, Alfons
Author_Institution :
Passau Univ., Germany
fYear :
2004
fDate :
30 March-2 April 2004
Firstpage :
782
Lastpage :
785
Abstract :
According to a survey of the University of Berkeley [P. Lyman et al., (2003)], about 5 Exabytes of new information has been created in 2002. This information explosion affects also the database volumes of enterprise resource planning (ERP) systems like SAP R/3, the market leader for ERP systems. Just like the overall information explosion, the database volumes of ERP systems are growing at a tremendous rate and some of them have reached a size of several Terabytes. OLTP (online transaction processing) databases of this size are hard to maintain and tend to perform poorly. One way to limit the size of a database is data staging, i.e., to make use of an SAP technique called archiving. That is, data which are not needed for every-day operations are demoted from the database (disks) to tertiary storage (tapes). In cooperation with our research group, SAP is adapting their archiving techniques to accelerate the archiving process by integrating new technologies like XML and advanced database features. However, so far no benchmark existed to evaluate different archiving scenarios and to measure the impact of a change in the archiving technique. We therefore designed and implemented a generic benchmark which is applicable to many different system layouts and allows the users to evaluate various archiving scenarios.
Keywords :
XML; benchmark testing; enterprise resource planning; information retrieval; information retrieval systems; transaction processing; very large databases; SAP R/3 archiving scenarios; XML; data staging; database volumes; enterprise resource planning systems; online transaction processing databases; Acceleration; Business communication; Companies; Database systems; Enterprise resource planning; Explosions; Production; Spatial databases; Transaction databases; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2004. Proceedings. 20th International Conference on
ISSN :
1063-6382
Print_ISBN :
0-7695-2065-0
Type :
conf
DOI :
10.1109/ICDE.2004.1320046
Filename :
1320046
Link To Document :
بازگشت