A parameterized complexity view on non-preemptively scheduling interval-constrained jobs: few machines, small looseness, and small slack

R van Bevern, R Niedermeier, O Suchý - Journal of Scheduling, 2017 - Springer
We study the problem of non-preemptively scheduling n jobs, each job j with a release time
t_j tj, a deadline d_j dj, and a processing time p_j pj, on m parallel identical machines …

[HTML][HTML] A general framework for handling commitment in online throughput maximization

L Chen, F Eberle, N Megow, K Schewior… - Mathematical …, 2020 - Springer
We study a fundamental online job admission problem where jobs with deadlines arrive
online over time at their release dates, and the task is to determine a preemptive single …

[HTML][HTML] A competitive algorithm for throughput maximization on identical machines

B Moseley, K Pruhs, C Stein, R Zhou - Mathematical Programming, 2024 - Springer
A competitive algorithm for throughput maximization on identical machines | Mathematical
Programming Skip to main content SpringerLink Account Menu Find a journal Publish with us …

[HTML][HTML] Competitive Analysis of Algorithms for an Online Distribution Problem

A Barba, L Bertazzi, BL Golden - Algorithms, 2024 - mdpi.com
We study an online distribution problem in which a producer has to send a load from an
origin to a destination. At each time period before the deadline, they ask for transportation …

Optimal nonpreemptive scheduling in a smart grid model

FH Liu, HH Liu, PWH Wong - 27th International Symposium on …, 2016 - drops.dagstuhl.de
We study a scheduling problem arising in demand response management in smart grid.
Consumers send in power requests with a flexible feasible time interval during which their …

An improved algorithm for online machine minimization

Y Azar, S Cohen - Operations Research Letters, 2018 - Elsevier
The online machine minimization problem seeks to design a preemptive scheduling
algorithm on multiple machines—each job j arrives at its release time rj, has to be processed …

Optimally handling commitment issues in online throughput maximization

F Eberle, N Megow, K Schewior - 28th Annual European …, 2020 - drops.dagstuhl.de
We consider a fundamental online scheduling problem in which jobs with processing times
and deadlines arrive online over time at their release dates. The task is to determine a …

The power of migration in online machine minimization

L Chen, N Megow, K Schewior - … of the 28th ACM Symposium on …, 2016 - dl.acm.org
In this paper we investigate the power of migration in online scheduling on multiple parallel
machines. The problem is to schedule preemptable jobs with release dates and deadlines …

Online machine minimization with lookahead

C Chen, H Zhang, Y Xu - Journal of Combinatorial Optimization, 2022 - Springer
This paper studies the online machine minimization problem, where the jobs have real
release times, uniform processing times and a common deadline. We investigate how the …

An O (log log m)-competitive Algorithm for Online Machine Minimization

S Im, B Moseley, K Pruhs, C Stein - 2017 IEEE Real-Time …, 2017 - ieeexplore.ieee.org
This paper considers the online machine minimization problem, a basic real time scheduling
problem. The setting for this problem consists of n jobs that arrive over time, where each job …