中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Percentile performance analysis of infrastructure-as-a-service clouds with task retrials

文献类型:会议论文

作者Zhu, Li1; Wang, Yuandou2; Zheng, Wanbo5; Wu, Lei3; Yuan, Ye4; Chen, Peng2; Xia, Yunni2
出版日期2017
会议日期May 16, 2017 - May 18, 2017
会议地点Calabria, Italy
DOI10.1109/ICNSC.2017.8000103
页码270-274
通讯作者Xia, Yunni (xiayunni@hotmail.com)
英文摘要Performance evaluation of cloud infrastructures and cloud-based applications is required to evaluate and quantify the cost-benefit of a strategy portfolio and the quality of service (QoS) experienced by end-users. For this purpose, we introduce an analytical framework to percentile-based performance analysis of unreliable Infrastructure-as-a-Service clouds with faulty and retrial tasks. The performance measured in a certain level percentile of the instantiation time predicted given variable load intensities, fault frequencies, multiplexing abilities, and instantiation processing delays. A case study based on a real-world campus cloud is carried out to show the correctness of the proposed theoretical model. © 2017 IEEE.
会议录14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017
语种英语
源URL[http://119.78.100.138/handle/2HOD01W0/4690]  
专题中国科学院重庆绿色智能技术研究院
作者单位1.State Grid Chongqing Jiangbei Power Supply Company, China;
2.School of Computers, Chongqing University, China;
3.Chongqing Research Institute of China Coal Technology, China;
4.School of Mathematical Sciences, University of Electronic Science and Technology of China, China;
5.Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China
推荐引用方式
GB/T 7714
Zhu, Li,Wang, Yuandou,Zheng, Wanbo,et al. Percentile performance analysis of infrastructure-as-a-service clouds with task retrials[C]. 见:. Calabria, Italy. May 16, 2017 - May 18, 2017.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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