中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。