Title :
Performance Evaluation of a Commercial Application, Trade, in Scale-out Environments
Author :
Dube, Parijat ; Yu, Hao ; Zhang, Li ; Moreira, José E.
Author_Institution :
Thomas J. Watson Res. Center, IBM, Yorktown Heights, NY
Abstract :
Scale-out approach, in contrast to scale-up approach (exploring increasing performance by utilizing more powerful shared-memory servers), refers to deployment of applications on a large number of small, inexpensive, but tightly packaged and tightly interconnected servers. The purpose of this study is to understand the performance of scale-out architectures with a typical enterprise workload, IBM Trade Performance Benchmark Sample for WebSphere Application Server (a.k.a. Trade). We describe a performance evaluation methodology that gives accurate predictions of application performance and system utilization by utilizing experimental data driven model development. Through experiments and extrapolation from the derived model, we show that for such workload, WebSphere Application Server packages for distributed environments scale well while the possible bottleneck of the application deployment is the database tier.
Keywords :
IBM computers; computer network performance evaluation; network servers; shared memory systems; IBM Trade Performance Benchmark Sample; WebSphere Application Server; commercial application; interconnected servers; performance evaluation; scale-out environments; shared-memory servers; Costs; Distributed databases; Network servers; Packaging; Performance analysis; Predictive models; Scalability; System performance; Throughput; Web server;
Conference_Titel :
Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2007. MASCOTS '07. 15th International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-1853-4
Electronic_ISBN :
1526-7539
DOI :
10.1109/MASCOTS.2007.51