activity
20072021
most citedOn Lerch's transcendent and the Gaussian random walk

52 citations · 120 across the 20 of their papers we have counts for

collaborators

23 papers

cs.SI2021

Robust subgraph counting with distribution-free random graph analysis

Johan S. H. van Leeuwaarden, Clara Stegehuis

Subgraphs such as cliques, loops and stars form crucial connections in the topologies of real-world networks. Random graph models provide estimates for how often certain subgraphs…

cs.PF2020

Optimal Hyper-Scalable Load Balancing with a Strict Queue Limit

Mark van der Boor, Sem Borst, Johan van Leeuwaarden

Load balancing plays a critical role in efficiently dispatching jobs in parallel-server systems such as cloud networks and data centers. A fundamental challenge in the design of lo…

math.PR2019★ 1 cited

MAD dispersion measure makes extremal queue analysis simple

Wouter van Eekelen, Dick den Hertog, Johan S. H. van Leeuwaarden

A notorious problem in queueing theory is to compute the worst possible performance of the GI/G/1 queue under mean-dispersion constraints for the interarrival and service time dist…

cs.SI2019★ 17 cited

Variational principle for scale-free network motifs

Clara Stegehuis, Remco van der Hofstad, Johan S. H. van Leeuwaarden

For scale-free networks with degrees following a power law with an exponent , the structures of motifs (small subgraphs) are not yet well understood. We introduce a meth…

math.PR2018★ 1 cited

Parameter estimators of random intersection graphs with thinned communities

Joona Karjalainen, Johan S. H. van Leeuwaarden, Lasse Leskelä

This paper studies a statistical network model generated by a large number of randomly sized overlapping communities, where any pair of nodes sharing a community is linked with pro…

cs.PF2017

Scalable Load Balancing in Networked Systems: Universality Properties and Stochastic Coupling Methods

Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden +1

We present an overview of scalable load balancing algorithms which provide favorable delay performance in large-scale systems, and yet only require minimal implementation overhead.…