引用本文:韩敏,段彦忠.融合可信性评价的Web服务组合QoS优化[J].控制与决策,2020,35(8):1859-1865
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融合可信性评价的Web服务组合QoS优化
韩敏,段彦忠
(大连理工大学电子信息与电气工程学部,辽宁大连116023)
摘要:
针对复杂网络环境下存在的恶意欺诈行为,提出一种将服务可信性评价和基于QoS感知的服务组合优化相结合的方法框架.首先,基于Web服务的历史行为分别采用贝叶斯学习理论和用户评价方法,从客、主观两方面对Web服务可信性进行评估;然后,利用可信性度量后的QoS属性构建多目标优化模型,并提出一种改进的多目标灰狼优化(IMOGWO)算法用于模型求解;最后,通过实验数据验证所提出方法框架在服务组合优化时的有效性.
关键词:  可信性评价  Web服务  服务组合  QoS  多目标灰狼算法  控制参数
DOI:10.13195/j.kzyjc.2019.0006
分类号:TP393
基金项目:国家自然科学基金项目(61773087).
QoS optimization of Web services composition incorporating with credibility evaluation
HAN Min,DUAN Yan-zhong
(Faculty of Electronic Information and Electrical Engineering,Dalian University of Technology,Dalian116023,China)
Abstract:
Aiming at malicious fraud in the complicated network environment, a method framework combining service credibility evaluation and QoS-aware service composition optimization is proposed. Firstly, based on the historical behavior of Web services, Bayesian learning theory and evaluation information of historical users are used to evaluate the credibility of Web services from both objective and subjective aspects. Then, by using the service QoS attributes measured by credibility, a multi-objective optimization model is constructed, and an improved multi-objective grey wolf optimization(IMOGWO) algorithm is proposed for model solution. Finally, the effectiveness of the method framework for service composition optimization is verified by experimental data.
Key words:  credibility evaluation  Web services  services composition  QoS  multi-objective grey wolf optimizer  control parameter

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