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20182025
most citedOptimal Scheduling in the Multiserver-job Model under Heavy Traffic

32 citations · 67 across the 13 of their papers we have counts for

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12 papers · 1 filter

cs.PF2025

Novel Lower Bounds on M/G/k Scheduling

Ziyuan Wang, Izzy Grosof

In queueing systems, effective scheduling algorithms are essential for optimizing performance. Optimal scheduling for the M/G/k queue has been explored in the heavy traffic limit,…

cs.PF2024

Analysis of Markovian Arrivals and Service with Applications to Intermittent Overload

Isaac Grosof, Yige Hong, Mor Harchol-Balter

In many important real-world queueing settings, arrival and service rates fluctuate over time. We consider the MAMS system, where the arrival and service rates each vary according…

cs.PF2024★ 10 cited

Heavy-Traffic Optimal Size- and State-Aware Dispatching

Runhan Xie, Isaac Grosof, Ziv Scully

Dispatching systems, where arriving jobs are immediately assigned to one of multiple queues, are ubiquitous in computer systems and service systems. A natural and practically relev…

cs.PF2023★ 2 cited

The RESET and MARC Techniques, with Application to Multiserver-Job Analysis

Isaac Grosof, Yige Hong, Mor Harchol-Balter +1

Multiserver-job (MSJ) systems, where jobs need to run concurrently across many servers, are increasingly common in practice. The default service ordering in many settings is First-…

cs.PF2022★ 32 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★ 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…