Arboricity and spanning-tree packing in random graphs with an application to load balancing
Abstract
We study the arboricity A and the maximum number T of edge-disjoint spanning trees of the Erdos-Renyi random graph G(n,p). For all p(n) in [0,1], we show that, with high probability, T is precisely the minimum between delta and floor(m/(n-1)), where delta is the smallest degree of the graph and m denotes the number of edges. Moreover, we explicitly determine a sharp threshold value for p such that: above this threshold, T equals floor(m/(n-1)) and A equals ceiling(m/(n-1)); and below this threshold, T equals delta, and we give a two-value concentration result for the arboricity A in that range. Finally, we include a stronger version of these results in the context of the random graph process where the edges are sequentially added one by one. A direct application of our result gives a sharp threshold for the maximum load being at most k in the two-choice load balancing problem, where k goes to infinity.
Keywords
Cite
@article{arxiv.1303.3881,
title = {Arboricity and spanning-tree packing in random graphs with an application to load balancing},
author = {Pu Gao and Xavier Pérez-Giménez and Cristiane M. Sato},
journal= {arXiv preprint arXiv:1303.3881},
year = {2014}
}