@inproceedings{a4ba027be5e94b3ea713ea31b19eb2dc,
title = "Reliability modeling and analysis of cloud service based on complex network",
abstract = "In recent years, cloud service is developing rapidly with its advantages of on-demand service, elastic extension and low-cost. Although the development of the cloud service is rapidly, more and more accidents also occur. So reliability of cloud services becomes the important factor that hinders its development, and in recent years the reliability of cloud services is becoming a research hotspot. In view of cloud service reliability research gaps in the field of complex networks, this article aims to put forward a reliability evaluating method of cloud services network and put forward a method to build complex network model. This method considers cloud services as nodes and the invocation of the relationship between the services as sides to build a complex network model. Through analyzing the model, it is easy to find the relationship of cloud services in the network, and find key services in a large number of services to increase the robustness and reliability of cloud services. Analyze the network structure of cloud services to assess the reliability of cloud services. This method which is put forward above leads the study of cloud services reliability from the traditional software reliability models to the complex network model. The method has guiding significance for further study of cloud services reliability.",
keywords = "Cloud service, Complex network, Elastic extension, Reliability",
author = "Yaxin Bai and Hong Zhang and Yangzhen Fu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 ; Conference date: 19-10-2016 Through 21-10-2016",
year = "2017",
month = jan,
day = "16",
doi = "10.1109/PHM.2016.7819907",
language = "英语",
series = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qiang Miao and Zhaojun Li and Zuo, \{Ming J.\} and Liudong Xing and Zhigang Tian",
booktitle = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
address = "美国",
}