arXiv Analytics

Sign in

arXiv:math/0508451 [math.PR]AbstractReferencesReviewsResources

On the power of two choices: Balls and bins in continuous time

Malwina J. Luczak, Colin McDiarmid

Published 2005-08-24Version 1

Suppose that there are n bins, and balls arrive in a Poisson process at rate \lambda n, where \lambda >0 is a constant. Upon arrival, each ball chooses a fixed number d of random bins, and is placed into one with least load. Balls have independent exponential lifetimes with unit mean. We show that the system converges rapidly to its equilibrium distribution; and when d\geq 2, there is an integer-valued function m_d(n)=\ln \ln n/\ln d+O(1) such that, in the equilibrium distribution, the maximum load of a bin is concentrated on the two values m_d(n) and m_d(n)-1, with probability tending to 1, as n\to \infty. We show also that the maximum load usually does not vary by more than a constant amount from \ln \ln n/\ln d, even over quite long periods of time.

Comments: Published at http://dx.doi.org/10.1214/105051605000000205 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Journal: Annals of Applied Probability 2005, Vol. 15, No. 3, 1733-1764
Categories: math.PR
Subjects: 60C05, 68R05, 90B80, 60K35, 60K30
Related articles: Most relevant | Search more
arXiv:0712.2091 [math.PR] (Published 2007-12-13)
Asymptotic distributions and chaos for the supermarket model
arXiv:1208.4922 [math.PR] (Published 2012-08-24, updated 2013-06-18)
Martingale Optimal Transport and Robust Hedging in Continuous Time
arXiv:2304.03727 [math.PR] (Published 2023-04-07)
Equilibrium Distributions for t-distributed Stochastic Neighbour Embedding