Balls-into-bins model

GPTKB entity

Statements (31)
Predicate Object
gptkbp:instanceOf gptkb:model
gptkbp:alsoKnownAs balls and bins problem
gptkbp:application distributed systems
parallel computing
hash table design
load balancing in networks
gptkbp:describes random allocation of objects into containers
gptkbp:field gptkb:probability_theory
theoretical computer science
combinatorics
https://www.w3.org/2000/01/rdf-schema#label Balls-into-bins model
gptkbp:notableAchievement expected number of empty bins is n * exp(-m/n) for m balls and n bins
maximum load is about (log n / log log n) for n balls and n bins
gptkbp:parameter number of balls
number of bins
gptkbp:relatedTo hash functions
birthday problem
coupon collector problem
gptkbp:studies collision probability
distribution of balls in bins
expected number of empty bins
maximum load in bins
gptkbp:typicalAssumption balls are placed independently and uniformly at random
gptkbp:usedFor randomized algorithms
analyzing load balancing
hashing analysis
gptkbp:variant non-uniform allocation
power of two choices
weighted balls
gptkbp:bfsParent gptkb:Online_Load_Balancing
gptkbp:bfsLayer 7