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Adaptive Status Arrivals Policy (ASAP) Delivering Fresh Information (Minimise Peak Age) in Real World Scenarios

机译:适应性状态到达策略(ASAP)在现实世界中提供最新信息(最小高峰期)

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摘要

Real-time systems make their decisions based on information communicated from sensors. Consequently, delivering information in a timely manner is critical to such systems. In this paper, a policy for delivering fresh information (or minimising the Peak Age of the information) is proposed. The proposed policy, i.e., the Adaptive Status Arrivals Policy (ASAP), adaptively controls the timing between updates to enhance the Peak Age (PA) performance of real-time systems. Firstly, an optimal value for the inter-arrival rate is derived. Afterwards, we implemented the policy in three scenarios and measured the ASAP PA performance. The experiments showed that ASAP is able to approach the theoretical optimal PA performance. Moreover, it can deliver fresh information in scenarios where the server is located in the cloud.
机译:实时系统基于从传感器传达的信息做出决策。因此,及时传递信息对于此类系统至关重要。在本文中,提出了一种用于提供新信息(或最小化信息高峰期)的策略。所提出的策略,即自适应状态到达策略(ASAP),自适应地控制更新之间的时间,以增强实时系统的峰值年龄(PA)性能。首先,得出到达间隔率的最佳值。之后,我们在三种情况下实施了该策略,并评估了ASAP PA的性能。实验表明,ASAP能够逼近理论上最佳的PA性能。此外,它可以在服务器位于云中的情况下提供最新信息。

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