Debankur Mukherjee

activity

20152026

most citedScalable load balancing in networked systems: A survey of recent advances

72 citations · 369 across the 34 of their papers we have counts for

collaborators

Showing 2020Show all

3 papers · 1 filter

cs.PF2020★ 7 cited

Self-Learning Threshold-Based Load Balancing

Diego Goldsztajn, Sem C. Borst, Johan S. H. van Leeuwaarden +2

We consider a large-scale service system where incoming tasks have to be instantaneously dispatched to one out of many parallel server pools. The user-perceived performance degrade…

math.PR2020

Load Balancing Under Strict Compatibility Constraints

Daan Rutten, Debankur Mukherjee

We study large-scale systems operating under the JSQ $(d)$ policy in the presence of stringent task-server compatibility constraints. Consider a system with $N$ identical single-ser…

math.PR2020

On $r$ -to- $p$ norms of random matrices with nonnegative entries: Asymptotic normality and $ℓ_{\infty}$ -bounds for the maximizer

Souvik Dhara, Debankur Mukherjee, Kavita Ramanan

For an $n \times n$ matrix $A_{n}$ , the $r \to p$ operator norm is defined as $$\|A_n\|_{r\to p}:= \sup_{\mathbf{x}\in\mathbb{R}^n:\|\mathbf{x} \|_r\leq 1 } \|A_n\mathbf{x} \|_p\quad\t…

Self-Learning Threshold-Based Load Balancing

Load Balancing Under Strict Compatibility Constraints

On r-to-p norms of random matrices with nonnegative entries: Asymptotic normality and ℓ∞​-bounds for the maximizer

On $r$ -to- $p$ norms of random matrices with nonnegative entries: Asymptotic normality and $ℓ_{\infty}$ -bounds for the maximizer