Age of Information (AoI) has emerged as an important quality-of-service measure for applications that prioritize delivery of the freshest information, e.g., virtual or augmented reality over mobile devices and wireless sensor networks used in the control of cyber-physical systems. We derive the Laplace transform of the stationary AoI for the M/GI/1/2 system with a "dynamic" service preemption and pushout policy depending on the existing service time of the in-service message. Thus, our system generalizes both the static M/GI/1/2 queue-pushout system without service preemption and the M/GI/1/1 bufferless system with service preemption - two systems considered to provide very good AoI performance. Based on our analysis, for a service-time distribution that is a mixture of deterministic and exponential, we numerically show that the dynamic policy has lower mean AoI than that of these two static policies and also that of the well studied M/GI/1/1 blocking system.
翻译:信息时代(AoI)已成为一项重要的服务质量措施,用于优先提供最新信息的应用,例如,对用于控制网络物理系统的移动装置和无线传感器网络的虚拟或扩大现实,我们从M/GI/1/2系统固定的AoI的拉普尔变换中得出一个“动力”服务先行和推出政策,取决于在用电信息的现有服务时间,因此,我们的系统将静态M/GI/1/2排队排队系统与M/GI/1/1无缓冲系统笼统地归纳为没有服务先发制人的静态M/GI/1/2排队排队排队系统,以及M/GI/1/1无缓冲系统,同时采用服务先发制词,两种系统被认为提供非常好的AoI性能。根据我们的分析,为了将确定性和指数混合的服务时间分布,我们从数字上表明,动态政策比这两个静态政策中的中平均值要低,也比经过仔细研究的M/GI/1/1阻塞系统要低。