AbstractWe study a particular aspect of the balanced allocation paradigm (also known as the “two-choices paradigm”): constant sized bins, packed as tightly as possible. Let d≥1 be fixed, and assume there are m bins of capacity d each. To each of n≤dm balls two possible bins are assigned at random. How close can dm/n=1+ε be to 1 so that with high probability each ball can be put into one of the two bins assigned to it without any bin overflowing? We show that ε>(2/e)d−1 is sufficient. If a new ball arrives with two new randomly assigned bins, we wish to rearrange some of the balls already present in order to accommodate the new ball. We show that on average it takes constant time to rearrange the balls to achieve this, for ε>βd, for some con...
We consider a variation of balls-into-bins which randomly allocates $m$ balls into $n$ bins. Followi...
In this paper we propose an algorithm for allocating n sequential balls into n bins that are organiz...
We study parallel algorithms for the classical balls-into-bins problem, in which $m$ balls acting in...
We consider the sequential allocation of m balls (jobs) into n bins (servers) by allowing each ball ...
The idea of using multiple choices to improve allocation schemes is now well understood and is often...
In the 2-choice allocation problem, $m$ balls are placed into $n$ bins, and each ball must choose be...
We consider the allocation of m balls (jobs) into n bins (servers). In the standard Two-Choice proce...
We introduce a new class of balanced allocation processes which are primarily characterized by "fill...
The study of balls-into-bins games or occupancy problems has a long history since these processes ca...
Suppose that we sequentially place n balls into n boxes by putting each ball into a randomly chosen ...
As a brief announcement [12], we proposed the following balls-into-bins strategy allocating n balls ...
We provide a relatively simple proof that the expected gap between the maximum load and the average ...
We consider the allocation of $m$ balls (jobs) into $n$ bins (servers). In the Two-Choice process, f...
In the balanced allocations framework, there are balls to be allocated into bins with the aim of m...
We analyze the following infinite load balancing process, modeled as a classical balls-into-bins gam...
We consider a variation of balls-into-bins which randomly allocates $m$ balls into $n$ bins. Followi...
In this paper we propose an algorithm for allocating n sequential balls into n bins that are organiz...
We study parallel algorithms for the classical balls-into-bins problem, in which $m$ balls acting in...
We consider the sequential allocation of m balls (jobs) into n bins (servers) by allowing each ball ...
The idea of using multiple choices to improve allocation schemes is now well understood and is often...
In the 2-choice allocation problem, $m$ balls are placed into $n$ bins, and each ball must choose be...
We consider the allocation of m balls (jobs) into n bins (servers). In the standard Two-Choice proce...
We introduce a new class of balanced allocation processes which are primarily characterized by "fill...
The study of balls-into-bins games or occupancy problems has a long history since these processes ca...
Suppose that we sequentially place n balls into n boxes by putting each ball into a randomly chosen ...
As a brief announcement [12], we proposed the following balls-into-bins strategy allocating n balls ...
We provide a relatively simple proof that the expected gap between the maximum load and the average ...
We consider the allocation of $m$ balls (jobs) into $n$ bins (servers). In the Two-Choice process, f...
In the balanced allocations framework, there are balls to be allocated into bins with the aim of m...
We analyze the following infinite load balancing process, modeled as a classical balls-into-bins gam...
We consider a variation of balls-into-bins which randomly allocates $m$ balls into $n$ bins. Followi...
In this paper we propose an algorithm for allocating n sequential balls into n bins that are organiz...
We study parallel algorithms for the classical balls-into-bins problem, in which $m$ balls acting in...