activity
20102016
most citedPlacing Dynamic Content in Caches with Small Population

161 citations · 178 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2016★ 161 cited

Placing Dynamic Content in Caches with Small Population

Mathieu Leconte, Georgios Paschos, Lazaros Gkatzikis +3

This paper addresses a fundamental limitation for the adoption of caching for wireless access networks due to small population sizes. This shortcoming is due to two main challenges…

cs.LG2015★ 1 cited

Cluster-Aided Mobility Predictions

Jaeseong Jeong, Mathieu Leconte, Alexandre Proutiere

Predicting the future location of users in wireless net- works has numerous applications, and can help service providers to improve the quality of service perceived by their client…

cs.NI2014★ 4 cited

Adaptive Replication in Distributed Content Delivery Networks

Mathieu Leconte, Marc Lelarge, Laurent Massoulié

We address the problem of content replication in large distributed content delivery networks, composed of a data center assisted by many small servers with limited capabilities and…

math.PR2012★ 8 cited

Convergence of multivariate belief propagation, with applications to cuckoo hashing and load balancing

Mathieu Leconte, Marc Lelarge, Laurent Massoulié

This paper is motivated by two applications, namely i) generalizations of cuckoo hashing, a computationally simple approach to assigning keys to objects, and ii) load balancing in…

cs.NI2010★ 1 cited

Fast Mixing of Parallel Glauber Dynamics and Low-Delay CSMA Scheduling

Libin Jiang, Mathieu Leconte, Jian Ni +2

Glauber dynamics is a powerful tool to generate randomized, approximate solutions to combinatorially difficult problems. It has been used to analyze and design distributed CSMA (Ca…

math.PR2010★ 3 cited

Mixing Time of Glauber Dynamics With Parallel Updates and Heterogeneous Fugacities

Mathieu Leconte, Jian Ni, R. Srikant

Glauber dynamics is a powerful tool to generate randomized, approximate solutions to combinatorially difficult problems. Applications include Markov Chain Monte Carlo (MCMC) simula…