摘要
针对目前静态服务质量QoS模型难以表征移动应用服务QoS的时变性和位置相关性,构建时空联合的移动应用服务QoS动态模型。首先提出可计算的时间与位置复用QoS模型(time and location multiplexing QoS model,TLMQM),在该模型中,时间和位置划分是动态建模的关键。为此,将业务流量均匀离散化,基于遗传算法进行数据聚类,实现时段自动划分;将服务位置特征与无线传播环境关联,基于接收信号强度RSSI区间范围,实现服务位置区域划分。最后给出了QoS评估过程和应用框架。
The current static QoS model can not reflect the QoS time varying and location correlation of mobile application service. The spatio-temporal combined QoS dynamic model framework is pres- ented for mobile applications service, and the time and location multiplexing QoS model is construc- ted which can be calculated. For the time and location division, automatic division method of time is implemented through traffic flow discretization and data clustering based on genetic algorithm. The division method of service location is implemented through associating with location feature and wire- less propagation environment, and using the received signal strength indicator RSSI interval range. Finally, the evaluation process and application framework of QoS are given.
出处
《信息工程大学学报》
2017年第1期14-20,共7页
Journal of Information Engineering University
基金
国家科技重大专项资助项目(2013ZX03006003-006)
关键词
移动应用
服务质量
动态模型
时变性
位置相关
mobile application
service quality
dynamic model
time varying
location correlation
