A Framework for Trust Management in Cloud Computing Environment

被引:0
|
作者
Mohammed, Alshaimaa M. [1 ]
Omara, Fatma A. [2 ]
机构
[1] Suez Canal Univ, Fac Sci, Comp Sci & Math Dept, Ismailia, Egypt
[2] Cairo Univ, Fac Comp & Artificial Intelligent, Comp Sci Dept, Cairo, Egypt
关键词
Cloud Service Provider; Filtering; Ranking; Trust; Similarity; Monitoring; Fuzzy Controller; Particle Swarm Optimization; Cos-Similarity; Rough Set Theory;
D O I
10.1109/itce48509.2020.9047791
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud Computing is considered as a business model for providing IT resources as services through the Internet based on pay-as-you-go principle. These IT resources are provided by Cloud Service Providers (CSPs) and requested by Cloud Service Consumers (CSCs). Selecting the proper CSP to deliver services is a critical and strategic process. According to the work in this paper, a framework for trust management in cloud computing has been introduced. The proposed framework consists of five stages; Filtrating, Trusting, Similarity, Ranking and Monitoring. In the Filtrating stage, the existing CSPs in the system will be filtered based on their parameters. The CSPs trust values are calculated in the Trusting stage. Then, the similarity between the CSC requirements and the CSPs data is calculated in the Similarity stage. The ranking of CSPs will be performed in Ranking stage. According to the Monitoring stage, after finishing the service, the CSC sends his feedbacks about the CSP who delivered the service to be used to monitor this CSP. To evaluate the performance of the proposed framework, a comparative study has been done for the Ranking and Monitoring stages using Armor dataset. According to the comparative results it is found that the proposed framework increases the reliability and performance of the cloud environment.
引用
收藏
页码:7 / 13
页数:7
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