基于通用即插即用协议服务发现的随机服务系统模型

Random service system model based on UPnP service discovery

在智能家居网络设备自动发现过程中,网络设备端随机独立地选择延时发送服务响应消息,通常出现严重的消息拥塞现象。为解决智能家居网络中服务响应消息拥塞问题,以智能家居标准协议——通用即插即用(UPn P)进行自动发现设备为例,考虑不同应用场景中对服务发现过程的可靠性和实时性有不同要求,提出一种基于UPn P服务发现的随机服务系统模型。设计了集成系统响应指标和等待指标的通信损益函数,推导得到了最佳缓存队列长度与损益系数之间的关系。通过对比不同缓存队列长度中响应消息的到达时间、离开时间、等待时间和停留时间,验证了设计损益指标的必要性和随机服务系统模型的可行性。

In the automatic-discovery process of smart home network devices,serious jams occur due to randomly and independently choosing delay time to send service response message. In order to solve this problem,taking Universal Plug and Play（ UPn P） service discovery protocol as an example,considering different demands of reliability and real-time performance,a random service system model based on UPn P service discovery was proposed. A profit-loss function including system response index and waiting index was designed. Finally,the relation between the best length of buffer queue and the profit-loss coefficient was obtained. Through the comparison of arrival time,departure time,waiting time and travel time with different buffer queue lengths,the necessity of designing profit-loss function and the feasibility of this proposed model are verified.