Efficient load balancing in large-scale systems. - Debankur Mukherjee; Sem C. Borst; J. S. H. van Leeuwaarden; Philip A. Whiting (CISS, 2016)

Phase transitions of extremal cuts for the configuration model. - Souvik Dhara; Debankur Mukherjee; Subhabrata Sen (CoRR, 2016)

Universality of load balancing schemes on the diffusion scale. - Debankur Mukherjee; Sem C. Borst; Johan S. H. van Leeuwaarden; Philip A. Whiting (J. Appl. Probab., 2016)

Universality of Power-of-d Load Balancing Schemes. - Debankur Mukherjee; Sem C. Borst; Johan van Leeuwaarden; Phil Whiting (SIGMETRICS Perform. Evaluation Rev., 2016)

Scalable Load Balancing in Networked Systems: Universality Properties and Stochastic Coupling Methods. - Mark van der Boor; Sem C. Borst; Johan S. H. van Leeuwaarden; Debankur Mukherjee (CoRR, 2017)

Optimal Service Elasticity in Large-Scale Distributed Systems. - Debankur Mukherjee; Souvik Dhara; Sem C. Borst; Johan S. H. van Leeuwaarden (Proc. ACM Meas. Anal. Comput. Syst., 2017)

Join-Idle-Queue with Service Elasticity: Large-Scale Asymptotics of a Non-monotone System. - Debankur Mukherjee; Alexander L. Stolyar (CoRR, 2018)

Scalable Load Balancing Algorithms in Networked Systems. - Debankur Mukherjee (CoRR, 2018)

Independent-set reconfiguration thresholds of hereditary graph classes. - Mark de Berg; Bart M. P. Jansen; Debankur Mukherjee (Discret. Appl. Math., 2018)

Asymptotically Optimal Load Balancing Topologies. - Debankur Mukherjee; Sem C. Borst; Johan S. H. van Leeuwaarden (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Join-Idle-Queue with Service Elasticity. - Debankur Mukherjee; Alexander L. Stolyar (SIGMETRICS Perform. Evaluation Rev., 2018)

Asymptotic Optimality of Power-of-d Load Balancing in Large-Scale Systems. - Debankur Mukherjee; Sem C. Borst; Johan S. H. van Leeuwaarden; Philip A. Whiting (Math. Oper. Res., 2020)

Online Optimization with Untrusted Predictions. - Daan Rutten; Nicolas Christianson; Debankur Mukherjee; Adam Wierman (CoRR, 2022)

Exploiting Data Locality to Improve Performance of Heterogeneous Server Clusters. - Zhisheng Zhao; Debankur Mukherjee; Ruoyu Wu (CoRR, 2022)

Self-Learning Threshold-Based Load Balancing. - Diego Goldsztajn; Sem C. Borst; Johan S. H. van Leeuwaarden; Debankur Mukherjee; Philip A. Whiting (INFORMS J. Comput., 2022)

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

Scalable Load Balancing in Networked Systems: A Survey of Recent Advances. - Mark van der Boor; Sem C. Borst; Johan S. H. van Leeuwaarden; Debankur Mukherjee (SIAM Rev., 2022)

Capacity Scaling Augmented With Unreliable Machine Learning Predictions. - Daan Rutten; Debankur Mukherjee (SIGMETRICS Perform. Evaluation Rev., 2022)

Mean-field Analysis for Load Balancing on Spatial Graphs. - Daan Rutten; Debankur Mukherjee (SIGMETRICS (Abstracts), 2023)

Optimal Rate-Matrix Pruning For Large-Scale Heterogeneous Systems. - Zhisheng Zhao; Debankur Mukherjee (CoRR, 2023)

Best of Both Worlds: Stochastic and Adversarial Convex Function Chasing. - Neelkamal Bhuyan; Debankur Mukherjee; Adam Wierman (CoRR, 2023)

Load Balancing Under Strict Compatibility Constraints. - Daan Rutten; Debankur Mukherjee (Math. Oper. Res., 2023)

Smoothed Online Optimization with Unreliable Predictions. - Daan Rutten; Nicolas Christianson; Debankur Mukherjee; Adam Wierman (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Distributed Rate Scaling in Large-Scale Service Systems. - Daan Rutten; Martin Zubeldia; Debankur Mukherjee (SIGMETRICS Perform. Evaluation Rev., 2023)

Optimal Rate-Matrix Pruning For Heterogeneous Systems. - Zhisheng Zhao; Debankur Mukherjee (SIGMETRICS Perform. Evaluation Rev., 2023)

Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization. - Neelkamal Bhuyan; Debankur Mukherjee; Adam Wierman (ICML, 2024)

Distributed Speed Scaling in Large-Scale Service Systems. - Daan Rutten; Martin Zubeldia; Debankur Mukherjee (SIGMETRICS/Performance (Abstracts), 2024)

Communication Efficient Decentralization for Smoothed Online Convex Optimization. - Neelkamal Bhuyan; Debankur Mukherjee; Adam Wierman (CoRR, 2024)

A New Approach to Capacity Scaling Augmented with Unreliable Machine Learning Predictions. - Daan Rutten; Debankur Mukherjee (Math. Oper. Res., 2024)