Load balancing under d-thinning

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


In the classical balls-and-bins model, m balls are allocated into n bins one by one uniformly at random. In this note, we consider the d-thinning variant of this model, in which the process is regulated in an on-line fashion as follows. For each ball, after a random bin has been selected, an overseer may decide, based on all previous history, whether to accept this bin or not. However, one of every d consecutive suggested bins must be accepted. The maximum load of this setting is the number of balls in the most loaded bin. We show that after Θ(n) balls have been √ allocated, the least maximum load achievable with high probability is (Forumala Prsrnted). This should be compared log log n with the related d-choice setting, in which the optimal maximum load achievable with high probability is (Forumala Prsrnted).

Original languageAmerican English
Article number1
JournalElectronic Communications in Probability
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020, Institute of Mathematical Statistics. All rights reserved.


  • Balls and bins
  • Load balancing
  • Thinning
  • Two-choice


Dive into the research topics of 'Load balancing under d-thinning'. Together they form a unique fingerprint.

Cite this