3 citations · 3 across the 3 of their papers we have counts for
7 papers · 1 filter
Exploiting Data Locality to Improve Performance of Heterogeneous Server Clusters
Zhisheng Zhao, Debankur Mukherjee, Ruoyu Wu
We consider load balancing in large-scale heterogeneous server systems in the presence of data locality that imposes constraints on which tasks can be assigned to which servers. Th…
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…
Scalable Load Balancing Algorithms in Networked Systems
Debankur Mukherjee
A fundamental challenge in large-scale networked systems viz., data centers and cloud networks is to distribute tasks to a pool of servers, using minimal instantaneous state inform…
Join-the-Shortest Queue Diffusion Limit in Halfin-Whitt Regime: Sensitivity on the Heavy-traffic Parameter
Sayan Banerjee, Debankur Mukherjee
Consider a system of parallel single-server queues with unit-exponential service time distribution and a single dispatcher where tasks arrive as a Poisson process of rate $λ(N)…
Join-Idle-Queue with Service Elasticity: Large-Scale Asymptotics of a Non-monotone System
Debankur Mukherjee, Alexander Stolyar
We consider the model of a token-based joint auto-scaling and load balancing strategy, proposed in a recent paper by Mukherjee, Dhara, Borst, and van Leeuwaarden (SIGMETRICS '17, a…
Large deviations analysis for the queue in the Halfin-Whitt regime
David A. Goldberg, Debankur Mukherjee, Yuan Li
We consider the FCFS queue in the Halfin-Whitt heavy traffic regime. It is known that the normalized sequence of steady-state queue length distributions is tight and…