activity
20052026
most citedConnectivity in One-Dimensional Soft Random Geometric Graphs

15 citations · 36 across the 17 of their papers we have counts for

collaborators

19 papers

cs.DC2026

Bipartite matching under communication constraints

Moonmoon Mohanty, Gautham Bolar, Preetam Patil +3

In modern data center networks, thousands of hosts contend for shared link capacity; the scale of these systems makes centralized scheduling impractical. This article models such s…

math.PR2022

A Model of Job Parallelism for Latency Reduction in Large-Scale Systems

Ayalvadi Ganesh, Arpan Mukhopadhyay

Processing computation-intensive jobs at multiple processing cores in parallel is essential in many real-world applications. In this paper, we consider an idealised model for job p…

math.PR2022★ 2 cited

The Distribution of the Number of Isolated Nodes in the 1-Dimensional Soft Random Geometric Graph

Michael Wilsher, Carl Dettmann, Ayalvadi Ganesh

We study the number of isolated nodes in a soft random geometric graph whose vertices constitute a Poisson process on the torus of length L (the line segment [0,L] with periodic bo…

cs.LG2021

Asymptotic Optimality for Decentralised Bandits

Conor Newton, Ayalvadi Ganesh, Henry W. J. Reeve

We consider a large number of agents collaborating on a multi-armed bandit problem with a large number of arms. The goal is to minimise the regret of each agent in a communication-…

cs.IT2021

Low latency allcast over broadcast erasure channels

Mark A. Graham, Ayalvadi J. Ganesh, Robert J. Piechocki

Consider n nodes communicating over an unreliable broadcast channel. Each node has a single packet that needs to be communicated to all other nodes. Time is slotted, and a time slo…

math.PR2020★ 15 cited

Connectivity in One-Dimensional Soft Random Geometric Graphs

Michael Wilsher, Carl P. Dettmann, Ayalvadi Ganesh

In this paper, we study the connectivity of a one-dimensional soft random geometric graph (RGG). The graph is generated by placing points at random on a bounded line segment and co…