Debankur Mukherjee

Orcid: 0000-0003-1678-4893

Affiliations:
  • Georgia Tech, School of Industrial and Systems Engineering, USA
  • University of Technology, Eindhoven, The Netherlands


According to our database1, Debankur Mukherjee authored at least 28 papers between 2016 and 2024.

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Bibliography

2024
A New Approach to Capacity Scaling Augmented with Unreliable Machine Learning Predictions.
Math. Oper. Res., 2024

Distributed Speed Scaling in Large-Scale Service Systems.
Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Optimal Rate-Matrix Pruning For Heterogeneous Systems.
SIGMETRICS Perform. Evaluation Rev., September, 2023

Distributed Rate Scaling in Large-Scale Service Systems.
SIGMETRICS Perform. Evaluation Rev., September, 2023

Smoothed Online Optimization with Unreliable Predictions.
Proc. ACM Meas. Anal. Comput. Syst., March, 2023

Load Balancing Under Strict Compatibility Constraints.
Math. Oper. Res., February, 2023

Best of Both Worlds: Stochastic and Adversarial Convex Function Chasing.
CoRR, 2023

Optimal Rate-Matrix Pruning For Large-Scale Heterogeneous Systems.
CoRR, 2023

Mean-field Analysis for Load Balancing on Spatial Graphs.
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

2022
Capacity Scaling Augmented With Unreliable Machine Learning Predictions.
SIGMETRICS Perform. Evaluation Rev., 2022

Scalable Load Balancing in Networked Systems: A Survey of Recent Advances.
SIAM Rev., 2022

Rates of convergence of the join the shortest queue policy for large-system heavy traffic.
Queueing Syst. Theory Appl., 2022

Self-Learning Threshold-Based Load Balancing.
INFORMS J. Comput., 2022

Exploiting Data Locality to Improve Performance of Heterogeneous Server Clusters.
CoRR, 2022

Online Optimization with Untrusted Predictions.
CoRR, 2022

2020
Asymptotic Optimality of Power-of-<i>d</i> Load Balancing in Large-Scale Systems.
Math. Oper. Res., 2020

2018
Join-Idle-Queue with Service Elasticity.
SIGMETRICS Perform. Evaluation Rev., 2018

Asymptotically Optimal Load Balancing Topologies.
Proc. ACM Meas. Anal. Comput. Syst., 2018

Independent-set reconfiguration thresholds of hereditary graph classes.
Discret. Appl. Math., 2018

Scalable Load Balancing Algorithms in Networked Systems.
CoRR, 2018

Join-Idle-Queue with Service Elasticity: Large-Scale Asymptotics of a Non-monotone System.
CoRR, 2018

2017
Optimal Service Elasticity in Large-Scale Distributed Systems.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Scalable Load Balancing in Networked Systems: Universality Properties and Stochastic Coupling Methods.
CoRR, 2017

2016
Universality of Power-of-d Load Balancing Schemes.
SIGMETRICS Perform. Evaluation Rev., 2016

Universality of load balancing schemes on the diffusion scale.
J. Appl. Probab., 2016

Phase transitions of extremal cuts for the configuration model.
CoRR, 2016

Efficient load balancing in large-scale systems.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016


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