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Ziv Scully

18 papers hereh-index 14521 citations49 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author6
  • last author4

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.PF15
  • cs.DS1
  • cs.LG1
  • math.PR1
same name
  • Ziv Scully — 5 papers, h 3
  • Ziv Scully — 4 papers, h 2
  • Ziv Scully — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedOptimal Scheduling in the Multiserver-job Model under Heavy Traffic

32 citations · 92 across the 17 of their papers we have counts for

collaborators
Showing 2021 · cs.PFShow all

4 papers · 2 filters

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.PF2021

When Does the Gittins Policy Have Asymptotically Optimal Response Time Tail?

Ziv Scully, Lucas van Kreveld

We consider scheduling in the M/G/1 queue with unknown job sizes. It is known that the Gittins policy minimizes mean response time in this setting. However, the behavior of the tai…

cs.PF2021★ 3 cited

Uniform Bounds for Scheduling with Job Size Estimates

Ziv Scully, Isaac Grosof, Michael Mitzenmacher

We consider the problem of scheduling to minimize mean response time in M/G/1 queues where only estimated job sizes (processing times) are known to the scheduler, where a job of tr…

cs.PF2021★ 9 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…

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