改进QoS的云服务评价模型Improvement of cloud service evaluation model for QoS
王泽
摘要(Abstract)：
针对云服务具有不确定性与大规模性,传统QoS的云服务评价模型工作机制灵活性不强,回报率低下等问题,设计改进QoS的云服务评价模型,对传统QoS的云服务评价模型的QoS属性项目进行细化,并利用熵值法为各项QoS属性项目进行比重取值。在改进模型的评价过程中,先针对实时数据进行重点评价,再结合以往数据特征对评价结果做出修正,并将修正结果输入未来预测时间,指导下次QoS云服务评价工作,以提高模型可靠性。同时将传统模型资源整体切入形式改为模块化切入形式,增添网络用户反馈机制与QoS监控机制,使评价服务更加完善。实验结果表明,改进QoS的云服务评价模型的服务内容选择性强,更能满足网络用户需求。
关键词(KeyWords)： 模型改进;QoS;云服务评价模型;云服务框架;动态服务;熵值法
基金项目(Foundation):
作者(Author): 王泽
DOI: 10.16652/j.issn.1004-373x.2018.01.021
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