Open problems in queueing theory inspired by datacenter computing

M Harchol-Balter - Queueing Systems, 2021 - Springer
Datacenter operations today provide a plethora of new queueing and scheduling problems.
The notion of a “job” has become more general and multi-dimensional. The ways in which …

WCFS: A new framework for analyzing multiserver systems

I Grosof, M Harchol-Balter, A Scheller-Wolf - Queueing Systems, 2022 - Springer
Multiserver queueing systems are found at the core of a wide variety of practical systems.
Many important multiserver models have a previously-unexplained similarity: identical mean …

Analysis of a queueing system with mixed service discipline

A Dudin, S Dudin, O Dudina - Methodology and Computing in Applied …, 2023 - Springer
In this paper, we analyse a queueing model with two types of requests arriving in a marked
Markov arrival process. Type-1 requests require a constant service rate, while type-2 …

Queue scheduling with adversarial bandit learning

J Huang, L Golubchik, L Huang - arXiv preprint arXiv:2303.01745, 2023 - arxiv.org
In this paper, we study scheduling of a queueing system with zero knowledge of
instantaneous network conditions. We consider a one-hop single-server queueing system …

[HTML][HTML] Queuing models of links carrying streaming and elastic services

A Marin, MA Marsan, M Meo, M Sereno - Computer Networks, 2024 - Elsevier
We consider an access link carrying data generated by streaming and elastic services
requested by fixed or mobile end users, and subjected to an admission control (AC) …

On the Performance of Large Loss Systems with Adaptive Multiserver Jobs

S Ghanbarian, A Mukhopadhyay, FM Guillemin… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we study systems where each job or request can be split into a flexible number
of sub-jobs up to a maximum limit. The number of sub-jobs a job is split into depends on the …

Optimal Scheduling in Multiserver Queues

I Grosof - ACM SIGMETRICS Performance Evaluation Review, 2024 - dl.acm.org
Scheduling theory is a key tool for reducing latency (ie response time) in queueing systems.
Scheduling, ie choosing the order in which to serve jobs, can reduce response time by an …

The case for phase-aware scheduling of parallelizable jobs

B Berg, J Whitehouse, B Moseley, W Wang… - ACM SIGMETRICS …, 2022 - dl.acm.org
Parallelizable workloads are ubiquitous and appear across a diverse array of modern
computer systems. Data centers, supercomputers, machine learning clusters, distributed …

When Lyapunov Drift Based Queue Scheduling Meets Adversarial Bandit Learning

J Huang, L Golubchik, L Huang - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we study scheduling of a queueing system with zero knowledge of
instantaneous network conditions. We consider a one-hop single-server queueing system …

The Impact of Service Demand Variability on Data Center Performance

D Olliaro, A Anggraito, MA Marsan… - … on Parallel and …, 2024 - ieeexplore.ieee.org
Modern data centers feature an extensive array of cores that handle quite a diverse range of
jobs. Recent traces, shared by leading cloud data center enterprises like Google and …