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 Universit ?at M?unchen 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.
Citation:
Martin Wimmer, Valentin Nicolescu, Daniel Gmach, Matthias Mohr, Alfons Kemper, Helmut Krcmar, "Evaluation of Adaptive Computing Concepts for Classical ERP Systems and Enterprise Services," cec-eee, pp.48, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06), 2006