Abstract
Performance and scalability are essential characteristics of large-scale enterprise software. This paper presents the technologies behind the processes implemented at SAP. During the specification, design and implementation phases, Performance Design Patterns are used as guidelines, which also define the Key Performance Indicators (KPI) for performance and scalability tests. With proven scalability of software applications, SAP’s Sizing Process enables the transformation of business requirements into hardware requirements. It also allows SAP’s customers to flexibly configure their specific applications, on operating system (OS), database (DB), and hardware platforms of their choice. The SAP Standard Application Benchmarks are developed and executed to test the scalability in extremely high load situations and to verify the sizing statements from the sizing process. They are also used for SAP internal regression tests across releases, and by SAP’s hardware partners for platform tests. Besides the response time centric performance testing, analysis and optimization, SAP follows a KPI-focused approach which permits potential performance problems to be reliably predicted already in simple and easy-to-execute tests. The SAP NetWeaver Portal Benchmark is used to demonstrate how to conduct performance and scalability tests using single user tests and load tests. We will introduce the KPIs used for Java memory analysis and optimization. Finally, this paper shows how the results of these tests can be used in hardware sizing in customer implementation projects.
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References
Bolch, G., et al.: Queuing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications. John Wiley & Sons, New York (1998)
Cheng, X.: Demystify Java-Based Load Tests and Their Results. SAP Insider, Wellesley Information Services, October-November-December (2006), https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/c1c8a123-0e01-0010-f8bf-a2d8ea8ec5b7
Tow, D.: SQL Tuning. O’Reilly Media (December 2004)
Janssen, S., Marquard, U.: Sizing SAP Systems. Galileo Press GmbH, Bonn (2007)
Meier, R.: Techniques for minimizing the performance impact of Java garbage collection across your system landscape. SAP Professional Journal 9(3), Wellesley Information Services (May/June 2007)
Sun Microsystems: Java SE 6 HotSpotTM Virtual Machine Garbage Collection Tuning. Sun Microsystems, SDN, http://java.sun.com/javase/technologies/hotspot/gc/gc_tuning_6.html
SAP Standard Application Benchmarks, http://www.sap.com/benchmark
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© 2008 Springer-Verlag Berlin Heidelberg
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Cheng, X. (2008). Performance, Benchmarking and Sizing in Developing Highly Scalable Enterprise Software. In: Kounev, S., Gorton, I., Sachs, K. (eds) Performance Evaluation: Metrics, Models and Benchmarks. SIPEW 2008. Lecture Notes in Computer Science, vol 5119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69814-2_12
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DOI: https://doi.org/10.1007/978-3-540-69814-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69813-5
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