On Busy Periods of the Critical GI/G/1 Queue and BRAVO
Yoni Nazarathy, Zbigniew Palmowski

TL;DR
This paper analyzes the asymptotic behavior of busy periods in critical GI/G/1 queues, demonstrates a BRAVO phenomenon reducing variance in the work-output process, and improves moment assumptions needed for these results.
Contribution
It provides new asymptotic results for busy periods under weaker moment assumptions and establishes the BRAVO effect for GI/G/1 queues with minimal conditions.
Findings
Busy period distribution is regularly varying with index half.
BRAVO phenomenon reduces asymptotic variance of busy-time.
Results hold under existence of 2+epsilon moments, weakening previous assumptions.
Abstract
We study critical GI/G/1 queues under finite second moment assumptions. We show that the busy period distribution is regularly varying with index half. We also review previously known M/G/1/ and M/M/1 derivations, yielding exact asymptotics as well as a similar derivation for GI/M/1. The busy period asymptotics determine the growth rate of moments of the renewal process counting busy cycles. We further use this to demonstrate a BRAVO phenomenon (Balancing Reduces Asymptotic Variance of Outputs) for the work-output process (namely the busy-time). This yields new insight on the BRAVO effect. A second contribution of the paper is in settling previous conjectured results about GI/G/1 and GI/G/s BRAVO. Previously, infinite buffer BRAVO was generally only settled under fourth-moment assumptions together with an assumption about the tail of the busy-period. In the current paper we strengthen…
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
TopicsAdvanced Queuing Theory Analysis · Probability and Risk Models · Simulation Techniques and Applications
