一种基于灰关联分析的QoS服务选择方法

A Novel Algorithm of Quality of Service Selection Based on Gray Correlation Analysis

随着网络中可供选择QoS服务日益增多,在用户请求服务时,为了确保用户获得满足其功能与QoS要求的服务,提出了一种基于灰关联分析的QoS服务选择方法,根据用户对网络服务的QoS需求估计各项QoS指标的主观权重,以用户的偏好感知作为服务选择的约束条件;基于候选服务集合构建候选服务决策矩阵,采用灰关联分析方法从中获得用户QoS满意度最高的服务。仿真和分析表明,该服务选择策略能为服务质量敏感的用户提供有效的满足QoS需求的服务方案。

As the increment of QoS services in the internet, in order to select the services that fulfill users＆#39; functionality and QoS requirements, a service selection strategy based on users＆#39; QoS-aware of Experience is presented. The strategy estimates the subjective weight of each QoS index according with the users＆#39; QoS requirements of web services, to make the users＆#39; QoS preference as a constraint condition for service selection, and construction of decision matrix based on the candidate service set, to select the service with highest satisfaction on QoS using gray correlation analysis method. Simulation and analysis show that the service selection strategy can provide service schemes which would effectively satisfies QoS users＆#39; requirements.