![]() |
个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:Director of Academic Committee at Kaifa District
其他任职:开发区校区学术分委员会主任(Director of Academic Committee at Kaifa Campus)
性别:男
毕业院校:多伦多大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 运筹学与控制论
办公地点:开发区(Kaifa District Campus)
联系方式:mingchul@dlut.edu.cn
电子邮箱:mingchul@dlut.edu.cn
A QoS-based fine-grained reputation system in the grid environment
点击次数:
论文类型:期刊论文
发表时间:2012-12-10
发表刊物:CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
收录刊物:SCIE、EI、Scopus
卷号:24
期号:17,SI
页面范围:1990-2006
ISSN号:1532-0626
关键字:grid service selection; Quality of Service (QoS); reputation system; virtual organization (VO)
摘要:The accuracy of feedback presentation, the sensitivity, and the robustness of reputation evaluation are critical issues to be addressed in a reputation system under the grid environment. This paper proposes a QoS-based fine-grained grid reputation system, where economic elements are considered to make the reputation system more sensitive in the commercial grid environments. A novel fine-grained feedback presentation model based on aggregation of objective QoS attributes and subjective opinions of evaluators is proposed to enable a semi-automatic, personalized and accurate feedback presentation. Through the introduction of a punishment factor and the adaptive reference of a previous trust value, the proposed reputation system effectively improves the sensitivity of the reputation evaluation. Moreover, the weighted combination of interorganizational trust, direct trust and recommended trust makes the reputation system more robust against collusion attacks. Simulation results show that the proposed reputation system can practically predict feedback and effectively resist malicious attacks such as fake transaction attacks and badmouthing attacks. This provides a clear advantage in the applications of grid service selection. Copyright (c) 2011 John Wiley & Sons, Ltd.