Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments

This dataset is directly associated with the paper “Multiobjective cooperative multi-fitness in workflow scheduling problem” (ICAE 2025) and contains all the data required to reproduce the experimental evaluation reported therein.

Detalles Bibliográficos
Autores: Barredo Gil, Pablo, Puente Peinador, Jorge|||0000-0001-6840-3939
Tipo de recurso: conjunto de datos
Fecha de publicación:2025
País:España
Institución:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:español
OAI Identifier:oai:digibuo.uniovi.es:10651/81914
Acceso en línea:https://hdl.handle.net/10651/81914
https://dx.doi.org/10.17811/ruo_datasets.81914
Access Level:acceso abierto
Palabra clave:workflow scheduling, multiobjective optimization, evolutionary algorithms, scientific workflows, cloud computing, performance evaluation, experimental data
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spelling Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling ExperimentsBarredo Gil, PabloPuente Peinador, Jorge|||0000-0001-6840-3939workflow scheduling, multiobjective optimization, evolutionary algorithms, scientific workflows, cloud computing, performance evaluation, experimental dataThis dataset is directly associated with the paper “Multiobjective cooperative multi-fitness in workflow scheduling problem” (ICAE 2025) and contains all the data required to reproduce the experimental evaluation reported therein.This dataset contains the input data, experimental configurations and results used in the experimental evaluation of multiobjective workflow scheduling algorithms reported in the associated ICAE 2025 publication. It includes scientific workflow benchmarks, infrastructure descriptions, algorithm configuration files, execution scripts and both raw and aggregated experimental results. The dataset covers multiple experimental scenarios corresponding to different optimisation algorithms and configurations. The dataset has been archived to support transparency, reproducibility and reuse of the experimental results.This research has been supported by the Spanish Government under research Grants TED2021-131938B-I00 and PID2022-141746OB-I00, and by the Principality of Asturias under research Grant GRU-GIC-24-018.20252025-08-01datasethttp://purl.org/coar/resource_type/c_ddb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/datasethttps://hdl.handle.net/10651/81914https://dx.doi.org/10.17811/ruo_datasets.81914reponame:RUO. Repositorio Institucional de la Universidad de Oviedoinstname:Universidad de Oviedo (UNIOVI)Españolspaopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:digibuo.uniovi.es:10651/819142026-06-07T06:38:51Z
dc.title.none.fl_str_mv Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments
title Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments
spellingShingle Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments
Barredo Gil, Pablo
workflow scheduling, multiobjective optimization, evolutionary algorithms, scientific workflows, cloud computing, performance evaluation, experimental data
title_short Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments
title_full Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments
title_fullStr Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments
title_full_unstemmed Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments
title_sort Dataset for ICAE 2025: Multiobjective Cooperative Multi-Fitness Workflow Scheduling Experiments
dc.creator.none.fl_str_mv Barredo Gil, Pablo
Puente Peinador, Jorge|||0000-0001-6840-3939
author Barredo Gil, Pablo
author_facet Barredo Gil, Pablo
Puente Peinador, Jorge|||0000-0001-6840-3939
author_role author
author2 Puente Peinador, Jorge|||0000-0001-6840-3939
author2_role author
dc.subject.none.fl_str_mv workflow scheduling, multiobjective optimization, evolutionary algorithms, scientific workflows, cloud computing, performance evaluation, experimental data
topic workflow scheduling, multiobjective optimization, evolutionary algorithms, scientific workflows, cloud computing, performance evaluation, experimental data
description This dataset is directly associated with the paper “Multiobjective cooperative multi-fitness in workflow scheduling problem” (ICAE 2025) and contains all the data required to reproduce the experimental evaluation reported therein.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-08-01
dc.type.none.fl_str_mv dataset
http://purl.org/coar/resource_type/c_ddb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://hdl.handle.net/10651/81914
https://dx.doi.org/10.17811/ruo_datasets.81914
url https://hdl.handle.net/10651/81914
https://dx.doi.org/10.17811/ruo_datasets.81914
dc.language.none.fl_str_mv Español
spa
language_invalid_str_mv Español
language spa
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:RUO. Repositorio Institucional de la Universidad de Oviedo
instname:Universidad de Oviedo (UNIOVI)
instname_str Universidad de Oviedo (UNIOVI)
reponame_str RUO. Repositorio Institucional de la Universidad de Oviedo
collection RUO. Repositorio Institucional de la Universidad de Oviedo
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419620234952704
score 15,811543

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