A model-driven approach to describe and predict the performance of composite services
WOSP '07 Proceedings of the 6th international workshop on Software and performance
Response-time measurements using the sun Java adventure builder
Proceedings of the 1st international workshop on Quality of service-oriented software systems
International Journal of Business Intelligence and Data Mining
Applying ordinary differential equations to the performance analysis of service composition
ICFEM'10 Proceedings of the 12th international conference on Formal engineering methods and software engineering
Impact of SOAP implementations in the performance of a web service-based application
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Hierarchical availability analysis of multi-tiered Web applications
Software Quality Control
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Web services are increasingly used to enable interoperability and flexible integration of e-business systems. In paper we focus on measurement-based performance analysis of an e-commerce application which uses Web services components to execute business operations. In our experiments we use a session-oriented workload generated by tool developed accordingly to the TPC-W specification. empirical results are obtained for two different user profiles, Browsing and Ordering, under different workload intensities. Unlike the previous work which was focused on the overall server response time and throughput, we present Web interaction, software architecture, and hardware resource level analysis of the system performance. In particular, we propose a method for extracting component level response times from the application server logs and study the impact Web services and other components on the server performance. The results show that the response times of Web services components increase significantly under higher workload intensities when compared to other components. From the hardware resource measurements it is obvious that higher response times of Web services components are to parsing XML messages and contention for database resources. The results of our study identify software components and hardware resources which are potential bottlenecks in the system and thus provide valuable information for capacity planning of e-commerce applications.