文章基本信息

标题：Enhanced Grinder Framework with Scheduling and Improved Agents
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作者：Shilpa Sharma ; Meenakshi Sharma
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：1
页码：55-59
出版社：TechScience Publications
摘要：Researchers are still trying to find effective ways to test web application. There are many techniques and tools for web application testing. In this dissertation, we have enhanced grinder performance tool with scheduling and improved Agents. The Grinder makes use of a powerful distributed Java load testing framework that allows simulation of multiple user loads across different “agents” which can be managed by a centralized controller or “console”. A grinder agent/worker processes exits once Grinder Console process ends session. We have added scheduler which works as a service on Grinder agent systems. This add-on will help users to start grinder from console itself. Grinder does not provide the way for distributing the agents so they must be deployed and started manually in all machines. There is no way that these agents keep running at back end. In enhanced grinder load increases in steps as done in J meter. Previous Grinder does not allow addition of heterogeneous agents to a grinder test, we will be removing this limitation by making Grinder agents use specified configuration in agents’ properties while seeming to grinder Console. Enhanced grinder allows heterogeneous workers capability.
关键词：Load testing for web application; Performance testing;Grinder