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Mathematical Problems in EngineeringVolume 2013 2013, Article ID 387083, 7 pages

Research ArticleCollege of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China

Received 31 May 2013; Accepted 4 July 2013

Academic Editor: Yuxin Mao

Copyright © 2013 Qingtao Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Various significant issues in cloud computing, such as service provision, service matching, and service assessment, have attracted researchers’ attention recently. Quality of service QoS plays an increasingly important role in the provision of cloud-based services, by aiming for the seamless and dynamic integration of cloud-service components. In this paper, we focus on QoS-satisfied predictions about the composition of cloud-service components and present a QoS-satisfied prediction model based on a hidden Markov model. In providing a cloud-based service for a user, if the user’s QoS cannot be satisfied by a single cloud-service component, component composition should be considered, where its QoS-satisfied capability needs to be proactively predicted to be able to guarantee the user’s QoS. We discuss the proposed model in detail and prove some aspects of the model. Simulation results show that our model can achieve high prediction accuracies.





Author: Qingtao Wu, Mingchuan Zhang, Ruijuan Zheng, Ying Lou, and Wangyang Wei

Source: https://www.hindawi.com/



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