Title :
WS-TaaS: A Testing as a Service Platform for Web Service Load Testing
Author :
Minzhi Yan ; Hailong Sun ; Xu Wang ; Xudong Liu
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
Abstract :
Web services are widely known as the building blocks of typical service oriented applications. The performance of such an application system is mainly dependent on that of component web services. Thus the effective load testing of web services is of great importance to understand and improve the performance of a service oriented system. However, existing Web Service load testing tools ignore the real characteristics of the practical running environment of a web service, which leads to inaccurate test results. In this work, we present WS-TaaS, a load testing platform for web services, which enables load testing process to be as close as possible to the real running scenarios. In this way, we aim at providing testers with more accurate performance testing results than existing tools. WS-TaaS is developed on the basis of our existing Cloud PaaS platform: Service4All. First, we briefly introduce the functionalities and main components of Service4All. Second, we provide detailed analysis of the requirements of Web Service load testing and present the conceptual architecture and design of key components. Third, we present the implementation details of WS-TaaS on the basis of Service4All. Finally, we perform a set of experiments based on the testing of real web services, and the experiments illustrate that WS-TaaS can efficiently facilitate the whole process of Web Service load testing. Especially, comparing with existing testing tools, WS-TaaS can obtain more effective and accurate test results.
Keywords :
Web services; cloud computing; performance evaluation; program testing; service-oriented architecture; Service4All; WS-TaaS; Web service load testing tools; building blocks; cloud PaaS platform; component Web services; service oriented applications; service oriented system performance; testing as a service platform; Cloud computing; Monitoring; Runtime; Testing; cloud computing; load testing; testing as a service; web services;
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2012 IEEE 18th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-4565-1
Electronic_ISBN :
1521-9097
DOI :
10.1109/ICPADS.2012.69