DC-RSF: A Dynamic and Customized Reputation System Framework for Joint Cloud Computing

被引:4
|
作者
Ye, Fanghua [1 ]
Zheng, Zibin [1 ]
Chen, Chuan [1 ]
Zhou, Yuren [1 ]
机构
[1] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Reputation System; Credibility Model; Joint Cloud Computing;
D O I
10.1109/ICDCSW.2017.21
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Joint cloud computing (JointCloud), as a brand-new paradigm of cloud computing, aims at building a cloud ecosystem, in which end users are agnostic to cloud service vendors as applications and services are built upon virtual clouds. In case of low quality cloud resources provided deliberately and in order to facilitate the persistent and sound development of JointCloud ecosystem, we propose a dynamic and customized reputation system framework (DC-RSF) to evaluate the credibility of cloud service vendors. At the core of DC-RSF is the customized and dynamic credibility model (CDCM), which calculates credit value for each cloud service vendor based on service requirements of end users and credential attributes of cloud service vendors. We further incorporate a Blockchain-based module into DC-RSF to prevent the credit value from being artificially tampered.
引用
收藏
页码:275 / 279
页数:5
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