Results 21 to 30 of about 2,111 (188)

Online Makespan Minimization with Parallel Schedules [PDF]

open access: yesAlgorithmica, 2014
In online makespan minimization a sequence of jobs $σ= J_1,..., J_n$ has to be scheduled on $m$ identical parallel machines so as to minimize the maximum completion time of any job. We investigate the problem with an essentially new model of resource augmentation.
Albers, Susanne, Hellwig, Matthias
openaire   +3 more sources

On Minimizing Generalized Makespan on Unrelated Machines

open access: yesCoRR, 2023
We consider the Generalized Makespan Problem (GMP) on unrelated machines, where we are given $n$ jobs and $m$ machines and each job $j$ has arbitrary processing time $p_{ij}$ on machine $i$. Additionally, there is a general symmetric monotone norm $ψ_i$ for each machine $i$, that determines the load on machine $i$ as a function of the sizes of jobs ...
Nikhil Ayyadevara   +2 more
openaire   +4 more sources

Bio-Inspired Workflow Scheduling on HPC Platforms

open access: yesTehnički Glasnik, 2021
Efficient scheduling of tasks in workflows of cloud or grid applications is a key to achieving better utilization of resources as well as timely completion of the user jobs. Many scientific applications comprise several tasks that are dependent in nature
Mandeep Kaur, Sanjay Kadam
doaj  

Minimizing makespan in hybrid flowshops

open access: yesOperations Research Letters, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, USA ( host institution )   +2 more
openaire   +3 more sources

Modeling and optimization of bakery production scheduling to minimize makespan and oven idle time

open access: yesScientific Reports, 2023
Makespan dominates the manufacturing expenses in bakery production. The high energy consumption of ovens also has a substantial impact, which bakers may overlook.
Majharulislam Babor   +3 more
doaj   +1 more source

Envy-free makespan approximation [PDF]

open access: yesProceedings of the 11th ACM conference on Electronic commerce, 2010
We study envy-free mechanisms for scheduling tasks on unrelated machines (agents) that approximately minimize the makespan. For indivisible tasks, we put forward an envy-free poly-time mechanism that approximates the minimal makespan to within a factor of O(log m), where m is the number of machines.
Edith Cohen   +4 more
openaire   +1 more source

Multi-Task Simultaneous Supervision

open access: yesJurnal Teknik Industri
This paper focuses on developing a Multi-Task Simultaneous Supervision Dual Resource-Constrained Scheduling (MTSSDRC) system that considers differences in skill between operators, aiming to minimize makespan and balance operator workload.
Afifah Rizka   +2 more
doaj   +1 more source

Task stalling for a batch of task makespan minimisation in heterogeneous multigrid computing

open access: yesComputational Science and Techniques, 2021
This paper presents a new algorithm for a batch of task makespan minimisation in heterogeneous multigrid computing. Heterogeneous grids are known to cause straggling task problem that increases task execution makespan.
Albertas Jurgelevičius   +2 more
doaj   +1 more source

A Self-Adaptive Memetic Algorithm for Distributed Job Shop Scheduling Problem

open access: yesMathematics
Distributed scheduling has become a common manufacturing mode, and the distributed job scheduling problem (DJSP) has attracted more manufacturers and researchers in the field of operation research.
Guangchen Wang   +2 more
doaj   +1 more source

Makespan Minimization via Posted Prices [PDF]

open access: yesProceedings of the 2017 ACM Conference on Economics and Computation, 2017
We consider job scheduling settings, with multiple machines, where jobs arrive online and choose a machine selfishly so as to minimize their cost. Our objective is the classic makespan minimization objective, which corresponds to the completion time of the last job to complete. The incentives of the selfish jobs may lead to poor performance.
Michal Feldman, Amos Fiat, Alan Roytman
openaire   +2 more sources

Home - About - Disclaimer - Privacy