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20182022
most citedOptimal Scheduling in the Multiserver-job Model under Heavy Traffic

32 citations · 44 across the 4 of their papers we have counts for

collaborators

8 papers

cs.PF202232 cited

Optimal Scheduling in the Multiserver-job Model under Heavy Traffic

Isaac Grosof, Ziv Scully, Mor Harchol-Balter +1

Multiserver-job systems, where jobs require concurrent service at many servers, occur widely in practice. Essentially all of the theoretical work on multiserver-job systems focuses…

cs.PF2021

How to Schedule Near-Optimally under Real-World Constraints

Ziv Scully, Mor Harchol-Balter

Scheduling is a critical part of practical computer systems, and scheduling has also been extensively studied from a theoretical perspective. Unfortunately, there is a gap between…

cs.PF20219 cited

Nudge: Stochastically Improving upon FCFS

Isaac Grosof, Kunhe Yang, Ziv Scully +1

The First-Come First-Served (FCFS) scheduling policy is the most popular scheduling algorithm used in practice. Furthermore, its usage is theoretically validated: for light-tailed…

cs.PF2020

Optimal Multiserver Scheduling with Unknown Job Sizes in Heavy Traffic

Ziv Scully, Isaac Grosof, Mor Harchol-Balter

We consider scheduling to minimize mean response time of the M/G/k queue with unknown job sizes. In the single-server case, the optimal policy is the Gittins policy, but it is not…

cs.PF2019

Simple Near-Optimal Scheduling for the M/G/1

Ziv Scully, Mor Harchol-Balter, Alan Scheller-Wolf

We consider the problem of preemptively scheduling jobs to minimize mean response time of an M/G/1 queue. When we know each job's size, the shortest remaining processing time (SRPT…

cs.PF20193 cited

Load Balancing Guardrails: Keeping Your Heavy Traffic on the Road to Low Response Times

Isaac Grosof, Ziv Scully, Mor Harchol-Balter

Load balancing systems, comprising a central dispatcher and a scheduling policy at each server, are widely used in practice, and their response time has been extensively studied in…