Evaluation of Adaptive Computing Concepts for Classical ERP Systems and Enterprise Services

Author

Wimmer, Martin ; Nicolescu, Valentin ; Gmach, Daniel ; Mohr, Matthias ; Kemper, Alfons ; Krcmar, Helmut

Author_Institution

Technische Univ. Munchen

fYear

2006

fDate

26-29 June 2006

Firstpage

48

Lastpage

48

Abstract

To ensure the operability and reliability of large scale enterprise resource planning systems (ERP), a peak-load oriented hardware sizing is often used. Better utilization can be achieved by employing an adaptive infrastructure based on smaller computational units in combination with an intelligent allocation management. The SAP University Competence Center (German SAP HCC) at the Technische Universitat Munchen provides support for 55 ERP training systems. The evaluation of the historical load data revealed that many applications exhibit cyclical resource consumption. In this paper we show the extraction of load patterns and present self-organizing controlling concepts in the context of the SAP HCC

Keywords

enterprise resource planning; SAP HCC; adaptive computing; enterprise resource planning systems; enterprise services; intelligent allocation management; peak-load oriented hardware sizing; Application software; Blades; Computational intelligence; Data mining; Enterprise resource planning; Hardware; Large-scale systems; Management training; Quality of service; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Commerce Technology, 2006. The 8th IEEE International Conference on and Enterprise Computing, E-Commerce, and E-Services, The 3rd IEEE International Conference on

Conference_Location

San Francisco, CA

Print_ISBN

0-7695-2511-3

Type

conf

DOI

10.1109/CEC-EEE.2006.45

Filename

1640303