3 citations · 3 across the 6 of their papers we have counts for
6 papers
Distributed Rate Scaling in Large-Scale Service Systems
Daan Rutten, Martin Zubeldia, Debankur Mukherjee
We consider a large-scale parallel-server system, where each server independently adjusts its processing speed in a decentralized manner. The objective is to minimize the overall c…
Mean-field Analysis for Load Balancing on Spatial Graphs
Daan Rutten, Debankur Mukherjee
The analysis of large-scale, parallel-server load balancing systems has relied heavily on mean-field analysis. A pivotal assumption for this framework is that the servers are excha…
Smoothed Online Optimization with Unreliable Predictions
Daan Rutten, Nico Christianson, Debankur Mukherjee +1
We examine the problem of smoothed online optimization, where a decision maker must sequentially choose points in a normed vector space to minimize the sum of per-round, non-convex…
Online Capacity Scaling Augmented With Unreliable Machine Learning Predictions
Daan Rutten, Debankur Mukherjee
Modern data centers suffer from immense power consumption. As a result, data center operators have heavily invested in capacity scaling solutions, which dynamically deactivate serv…
Modeling Rydberg Gases using Random Sequential Adsorption on Random Graphs
Daan Rutten, Jaron Sanders
The statistics of strongly interacting, ultracold Rydberg gases are governed by the interplay of two factors: geometrical restrictions induced by blockade effects, and quantum mech…
Load Balancing Under Strict Compatibility Constraints
Daan Rutten, Debankur Mukherjee
We study large-scale systems operating under the JSQ policy in the presence of stringent task-server compatibility constraints. Consider a system with identical single-ser…