当一个密集的服务最小化信息时代

Rajat Talak, S. Karaman, E. Modiano
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引用次数: 10

摘要

信息年龄(Age-of-information, AoI)是一种新提出的信息新鲜度性能指标。它与传统的延迟度量不同,因为它以目的地为中心,并且测量从源处生成最后一次接收到的新信息更新以来所经过的时间。我们表明,在某些系统中,AoI和数据包延迟以一种基本的方式不同,即最小化一个可以意味着最大化另一个。我们考虑了两种队列系统,即具有抢占式服务的单服务器后先服务队列(LCFSp)和G/G/∞队列,并证明了在最坏情况下导致数据包延迟或数据包延迟方差的重尾服务分布可以使AoI最小化。对于M/G/1 LCFSp和G/G/∞队列的具体情况,我们也证明了分别使分组延迟和分组延迟方差最小的确定性服务会导致最坏情况下的AoI。
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When a Heavy Tailed Service Minimizes Age of Information
Age-of-information (AoI) is a newly proposed performance metric of information freshness. It differs from the traditional delay metric, because it is destination centric and measures the time that elapsed since the last received fresh information update was generated at the source. We show that AoI and packet delay differ in a fundamental way in certain systems, i.e. minimizing one can imply maximizing the other.We consider two queueing systems, namely a single server last come first serve queue with preemptive service (LCFSp) and G/G/∞ queue, and show that a heavy tailed service distribution, that results in the worst case packet delay or variance in packet delay, respectively, minimizes AoI. For the specific case of M/G/1 LCFSp and G/G/∞ queue, we also prove that deterministic service, that minimizes packet delay and variance in packet delay, respectively, results in the worst case AoI.
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