In this survey we provide an overview of recent advances on scalable load balancing
schemes which provide favorable delay performance and yet require minimal …

Mobile edge computing (MEC) facilitates computation offloading to edge server and task
processing via device-to-device (D2D) collaboration. Existing works mainly focus on …

Applications in cloud platforms motivate the study of efficient load balancing under job-
server constraints and server heterogeneity. In this paper, we study load balancing on a …

We consider a variation of the supermarket model in which the servers can communicate
with their neighbors and where the neighborhood relationships are described in terms of a …

A pivotal methodological tool behind the analysis of large-scale load balancing systems is
mean-field analysis. The high-level idea is to represent the system state by aggregate …

We consider a system of N servers inter-connected by some underlying graph topology GN.
Tasks with unit-mean exponential processing times arrive at the various servers as …

Consider a system with N identical single-server queues and a number of task types, where
each server is able to process only a small subset of possible task types. Arriving tasks …

We present an overview of scalable load balancing algorithms which provide favorable
delay performance in large-scale systems, and yet only require minimal implementation …

Scalable load balancing algorithms are of great interest in cloud networks and data centers,
necessitating the use of tractable techniques to compute optimal load balancing policies for …

Mean-field approximations are ubiquitously used in the study of large-scale networks,
including in the analysis of randomized load balancing algorithms. For concreteness …