Strategyproof scheduling with predictions

E Balkanski, V Gkatzelis, X Tan - arXiv preprint arXiv:2209.04058, 2022 - arxiv.org
In their seminal paper that initiated the field of algorithmic mechanism design,\citet {NR99}
studied the problem of designing strategyproof mechanisms for scheduling jobs on …

Energy-efficient scheduling with predictions

E Balkanski, N Perivier, C Stein… - Advances in Neural …, 2024 - proceedings.neurips.cc
An important goal of modern scheduling systems is to efficiently manage power usage. In
energy-efficient scheduling, the operating system controls the speed at which a machine is …

Learning-augmented online packet scheduling with deadlines

YC Liang, C Stein, HT Wei - arXiv preprint arXiv:2305.07164, 2023 - arxiv.org
The modern network aims to prioritize critical traffic over non-critical traffic and effectively
manage traffic flow. This necessitates proper buffer management to prevent the loss of …

Speed-oblivious online scheduling: knowing (precise) speeds is not necessary

A Lindermayr, N Megow… - … Conference on Machine …, 2023 - proceedings.mlr.press
We consider online scheduling on unrelated (heterogeneous) machines in a speed-
oblivious setting, where an algorithm is unaware of the exact job-dependent processing …

Efficient approximation schemes for scheduling on a stochastic number of machines

L Epstein, A Levin - arXiv preprint arXiv:2409.10155, 2024 - arxiv.org
We study three two-stage optimization problems with a similar structure and different
objectives. In the first stage of each problem, the goal is to assign input jobs of positive sizes …

Scheduling on a Stochastic Number of Machines

M Buchem, F Eberle, HKK Rosado, K Schewior… - arXiv preprint arXiv …, 2024 - arxiv.org
We consider a new scheduling problem on parallel identical machines in which the number
of machines is initially not known, but it follows a given probability distribution. Only after all …

The Safe and Effective Use of Optimistic Period Predictions

S Baruah, P Ekberg, A Lindermayr… - Proceedings of the …, 2024 - dl.acm.org
Parameters characterizing safety critical systems are generally assigned very conservative
values for reasons of safety assurance. Provisioning computing resources on the basis of …

Scheduling and Routing Under Uncertainty With Predictions

HT Wei - 2024 - search.proquest.com
Uncertainty surrounds us daily, indicating the need for effective decision-making strategies.
In recent years, the large amount of available data has accelerated the development of …

Unrelated Machine Scheduling in Different Information Models

A Lindermayr - 2024 - media.suub.uni-bremen.de
Unrelated machines are an abstraction of many scheduling environments appearing in
practical applications, where every job may be processed at a different speed on every …

[图书][B] Beyond Worst-Case Analysis for Sequential Decision Making

N Perivier - 2023 - search.proquest.com
Traditionally, algorithms have been evaluated through worst-case analysis, where the input
is presumed to take its worst possible configuration. However, in many real-world settings …