A Fuzzy-Based Intelligent Cloud Broker with MapReduce Framework to Evaluate the Trust Level of Cloud Services Using Customer Feedback

被引：16

作者：

Nagarajan, Rajganesh ^{[1
]}

Thirunavukarasu, Ramkumar ^{[2
]}

Shanmugam, Selvamuthukumaran ^{[3
]}

机构：

[1] AVC Coll Engn, Dept Informat Technol, Mayiladuthurai, Tamil Nadu, India

[2] VIT Univ, Sch Informat Technol & Engn, Vellore, Tamil Nadu, India

[3] AVC Coll Engn, Dept Comp Applicat, Mayiladuthurai, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2018年 / 20卷 / 01期

关键词：

Cloud service; MapReduce; Fuzzy logic; Cloud broker; Decision making; CLASSIFICATION; MODEL;

D O I：

10.1007/s40815-017-0347-5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the rapid development of cloud computing services, it is highly essential to ensure the quality of service offered by the service providers. Though several trust evaluation methods are available based on user feedback, it is hard to reap meaningful trust level of services when large number of cloud users are involved. To tackle the problem, we have advocated a big data processing framework for evaluating the trust level of availed services. An intelligent cloud broker with the incorporation of MapReduce framework has been put forth for the effective preprocessing of cloud users' feedback. Besides, the broker performs the fuzzy inference system and a decision-making process for evaluating the trust level of services on the basis of processed feedback. Experimental results show that our proposed framework scores better results in terms of both trust level identification and execution efficiency.

引用

页码：339 / 347

页数：9

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