Power law condition for stability of Poisson hail
Sergey Foss, Takis Konstantopoulos, Thomas Mountford

TL;DR
This paper establishes a power law condition on the tail distributions of jobs in the Poisson hail model to guarantee stability at low arrival rates, demonstrating near-optimality of this condition.
Contribution
It introduces a power law tail condition for the Poisson hail model that ensures stability and proves its near-optimality.
Findings
Power law tail condition guarantees stability as rate tends to zero
The condition is shown to be nearly optimal in a weak sense
Provides insights into tail behavior and stability in Poisson hail models
Abstract
We consider the Poisson hail model introduced by Baccelli and Foss. We give a power law condition for the tails (spatial and temporal) of the distribution of jobs to ensure stability as the rate parameter tends to zero. We then show that in a weak sense it is optimal.
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.
