research
∙
06/01/2023
Optimal Rate-Matrix Pruning For Large-Scale Heterogeneous Systems
We present an analysis of large-scale load balancing systems, where the ...
share
research
∙
11/29/2022
Exploiting Data Locality to Improve Performance of Heterogeneous Server Clusters
We consider load balancing in large-scale heterogeneous server systems i...
research
∙
02/07/2022
Online Optimization with Untrusted Predictions
We examine the problem of online optimization, where a decision maker mu...
research
∙
01/28/2021
A New Approach to Capacity Scaling Augmented With Unreliable Machine Learning Predictions
Modern data centers suffer from immense power consumption. The erratic b...
research
∙
10/29/2020
Self-Learning Threshold-Based Load Balancing
We consider a large-scale service system where incoming tasks have to be...
research
∙
08/17/2020
Load Balancing Under Strict Compatibility Constraints
We study large-scale systems operating under the JSQ(d) policy in the pr...
research
∙
09/06/2018
Scalable Load Balancing Algorithms in Networked Systems
A fundamental challenge in large-scale networked systems viz., data cent...
research
∙
06/14/2018
Scalable load balancing in networked systems: A survey of recent advances
The basic load balancing scenario involves a single dispatcher where tas...
research
∙
03/20/2018
Join-Idle-Queue with Service Elasticity: Large-Scale Asymptotics of a Non-monotone System
We consider the model of a token-based joint auto-scaling and load balan...
research
∙
12/22/2017
Scalable Load Balancing in Networked Systems: Universality Properties and Stochastic Coupling Methods
We present an overview of scalable load balancing algorithms which provi...
research
∙
07/18/2017
Asymptotically Optimal Load Balancing Topologies
We consider a system of N servers inter-connected by some underlying gra...
research
∙
03/24/2017
