activity
20172022
most citedOptimal Scheduling in the Multiserver-job Model under Heavy Traffic

32 citations · 57 across the 8 of their papers we have counts for

collaborators

15 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.CY2021

Computing the Death Rate of COVID-19

Naveen Pai, Sean Zhang, Mor Harchol-Balter

The Infection Fatality Rate (IFR) of COVID-19 is difficult to estimate because the number of infections is unknown and there is a lag between each infection and the potentially sub…

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.DC20207 cited

heSRPT: Parallel Scheduling to Minimize Mean Slowdown

Benjamin Berg, Rein Vesilo, Mor Harchol-Balter

Modern data centers serve workloads which are capable of exploiting parallelism. When a job parallelizes across multiple servers it will complete more quickly, but jobs receive dim…

cs.PF20201 cited

Zero Queueing for Multi-Server Jobs

Weina Wang, Qiaomin Xie, Mor Harchol-Balter

Cloud computing today is dominated by multi-server jobs. These are jobs that request multiple servers simultaneously and hold onto all of these servers for the duration of the job.…