activity
20172021
most citedOn Gaussian Limits and Large Deviations for Queues Fed by High Intensity Randomly Scattered Traffic

2 citations · 6 across the 9 of their papers we have counts for

collaborators
Showing math.PRShow all

12 papers · 1 filter

math.PR2021

Diffusion Approximations for Queues In A Fast Oscillatory Random Environment

Harsha Honnappa, Yiran Liu, Samy Tindel +1

We study infinite server queues driven by Cox processes in a fast oscillatory random environment. While exact performance analysis is difficult, we establish diffusion approximatio…

math.PR2020

Information Projection on Banach spaces with Applications to State Independent KL-Weighted Optimal Control

Zachary Selk, William Haskell, Harsha Honnappa

This paper studies constrained information projections on Banach spaces with respect to a Gaussian reference measure. Specifically our interest lies in characterizing projections o…

math.PR2020

Infinite server queues in a random fast oscillatory environment

Harsha Honnappa, Yiran Liu, Samy Tindel +1

In this paper, we consider a infinite server queueing model in a random environment. More specifically, the arrival rate in our server is modeled as a highly fluct…

math.PR2019

A Many-Server Functional Strong Law For A Non-Stationary Loss Model

Prakash Chakraborty, Harsha Honnappa

The purpose of this note is to show that it is possible to establish a many-server functional strong law of large numbers (FSLLN) for the fraction of occupied servers (i.e., the sc…

math.PR2019

Strong Embeddings for Transitory Queueing Models

Prakash Chakraborty, Harsha Honnappa

In this paper we establish strong embedding theorems, in the sense of the Komlos-Major-Tusnady framework, for the performance metrics of a general class of transitory queueing mode…

math.PR2019

Large Deviations of Bivariate Gaussian Extrema

Remco van der Hofstad, Harsha Honnappa

We establish sharp tail asymptotics for component-wise extreme values of bivariate Gaussian random vectors with arbitrary correlation between the components. We consider two scalin…