Migrating Load Testing to the Cloud: A Case Study
文献类型:会议论文
作者 | Gao, Qiang ; Wang, Wei ; Wu, Guoquan ; Li, Xuan ; Wei, Jun ; Zhong, Hua |
出版日期 | 2013 |
会议名称 | IEEE 7th International Symposium on Service-Oriented System Engineering (SOSE) |
会议日期 | MAR 25-28, 2013 |
会议地点 | Redwood City, CA |
关键词 | cloud computing load testing migrating |
页码 | 429-434 |
中文摘要 | Cloud computing has emerged as a new paradigm for the delivery of computing resources. It brings great opportunities to software testing, especially to load testing. In this paper, we focus on migrating conventional load testing tools to the cloud, for which the two significant issues are about multi-tenancy and load simulating resource management. We propose a four layer model for cloud-based load testing, along with the approach of test request admission control and scheduling to solve these issues. We carried out a concrete case study on our proposed approach and made the efficiency of cloud-based load testing shown successfully by two contrast experiments. |
英文摘要 | Cloud computing has emerged as a new paradigm for the delivery of computing resources. It brings great opportunities to software testing, especially to load testing. In this paper, we focus on migrating conventional load testing tools to the cloud, for which the two significant issues are about multi-tenancy and load simulating resource management. We propose a four layer model for cloud-based load testing, along with the approach of test request admission control and scheduling to solve these issues. We carried out a concrete case study on our proposed approach and made the efficiency of cloud-based load testing shown successfully by two contrast experiments. |
收录类别 | CPCI |
会议录出版地 | IEEE |
语种 | 英语 |
ISBN号 | 978-0-7695-4944-6; 978-1-4673-5659-6 |
源URL | [http://ir.iscas.ac.cn/handle/311060/16523] ![]() |
专题 | 软件研究所_软件所图书馆_会议论文 |
推荐引用方式 GB/T 7714 | Gao, Qiang,Wang, Wei,Wu, Guoquan,et al. Migrating Load Testing to the Cloud: A Case Study[C]. 见:IEEE 7th International Symposium on Service-Oriented System Engineering (SOSE). Redwood City, CA. MAR 25-28, 2013. |
入库方式: OAI收割
来源:软件研究所
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