Exact Analysis of the Age of Information in the Multi-Source M/GI/1 Queueing System
Yoshiaki Inoue, Tetsuya Takine

TL;DR
This paper provides an exact analytical formula for the age of information in a multi-source M/GI/1 queueing system, resolving a long-standing open problem and enabling precise performance evaluation.
Contribution
It derives a simple explicit formula for the stationary distribution and mean of AoI in the multi-source M/GI/1 queue, using the double Laplace transform of the workload.
Findings
Explicit formula for AoI distribution and mean
Utilizes double Laplace transform of workload
Addresses a long-standing open problem in queue analysis
Abstract
We consider a situation that multiple monitoring applications (each with a different sensor-monitor pair) compete for a common service resource such as a communication link. Each sensor reports the latest state of its own time-varying information source to its corresponding monitor, incurring queueing and processing delays at the shared resource. The primary performance metric of interest is the age of information (AoI) of each sensor-monitor pair, which is defined as the elapsed time from the generation of the information currently displayed on the monitor. Although the multi-source first-come first-served (FCFS) M/GI/1 queue is one of the most fundamental model to describe such competing sensors, its exact analysis has been an open problem for years. In this paper, we show that the Laplace-Stieltjes transform (LST) of the stationary distribution of the AoI in this model, as well as…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAge of Information Optimization · IoT Networks and Protocols · Cognitive Functions and Memory
