When a Heavy Tailed Service Minimizes Age of Information
Author(s)
Talak, Rajat Rajendra; Karaman, Sertac; Modiano, Eytan H
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© 2019 IEEE. 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.
Date issued
2019Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
IEEE International Symposium on Information Theory - Proceedings
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Talak, Rajat, Karaman, Sertac and Modiano, Eytan. 2019. "When a Heavy Tailed Service Minimizes Age of Information." IEEE International Symposium on Information Theory - Proceedings, 2019-July.
Version: Author's final manuscript