A QoS-satisfied Prediction Model for Cloud-service Composition Based on Hidden Markov Model

被引:1
作者
Wu, Qingtao [1 ]
Zhang, Mingchuan [1 ]
Zheng, Ruijuan [1 ]
Wei, Wangyang [1 ]
机构
[1] Henan Univ Sci & Technol, Elect & Informat Engn Coll, Luoyang 471023, Peoples R China
基金
中国国家自然科学基金;
关键词
Cloud-service; Composition; Hidden Markov Model; QoS-satisfied;
D O I
10.3991/ijoe.v9i3.2678
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
There are various significant issues in cloud computing, such as service provision, service matching and service assessment, which have attracted researchers' attentions recently. QoS play an increasingly important role during the procedure of cloud-based service provision for seamless and dynamic integration of cloud-service components. In this paper, we focus on the QoS-satisfied prediction for cloud-service composited components and present a QoS-satisfied prediction model based on hidden Markov model. For a general process of cloud-service provision, if the user's QoS could not be satisfied only by one cloud-service component, the component composition should be considered to provide to user, where the QoSsatisfied capability of composited components need to be proactively predicted to guarantee the user's QoS. We discuss the proposed model in detail and proof the model partly. The simulation results show that our model can obtain rather high prediction accuracy rate.
引用
收藏
页码:67 / 71
页数:5
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