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
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