dc.creator | Fernández Cerero, Damián | es |
dc.creator | Fernández Montes González, Alejandro | es |
dc.creator | Kolodziej, Joanna | es |
dc.creator | Lefèvre, Laurent | es |
dc.date.accessioned | 2022-03-14T10:25:13Z | |
dc.date.available | 2022-03-14T10:25:13Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Fernández Cerero, D., Fernández Montes González, A., Kolodziej, J. y Lefèvre, L. (2018). Quality of cloud services determined by the dynamic management of scheduling models for complex heterogeneous workloads. En QUATIC 2018 : 11th International Conference on the Quality of Information and Communications Technology (210-219), Coimbra, Portugal: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-5386-5841-3 | es |
dc.identifier.uri | https://hdl.handle.net/11441/130743 | |
dc.description.abstract | The quality of services in Cloud Computing (CC)
depends on the scheduling strategies selected for processing of
the complex workloads in the physical cloud clusters. Using
the scheduler of the single type does not guarantee of the
optimal mapping of jobs onto cloud resources, especially in
the case of the processing of the big data workloads. In this
paper, we compare the performances of the cloud schedulers
for various combinations of the cloud workloads with different
characteristics. We define several scenarios where the proper
types of schedulers can be selected from a list of scheduling
models implemented in the system, and used to schedule the
concrete workloads based on the workloads’ parameters and
the feedback on the efficiency of the schedulers. The presented
work is the first step in the development and implementation
of an automatic intelligent scheduler selection system. In our
simple experimental analysis, we confirm the usefulness of such
a system in today’s data-intensive cloud computing | es |
dc.format | application/pdf | es |
dc.format.extent | 10 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | QUATIC 2018 : 11th International Conference on the Quality of Information and Communications Technology (2018), pp. 210-219. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Big Data Quality | es |
dc.subject | Cloud scheduling | es |
dc.subject | Dynamic cloud scheduling | es |
dc.subject | Cloud computing | es |
dc.subject | Big Data | es |
dc.title | Quality of cloud services determined by the dynamic management of scheduling models for complex heterogeneous workloads | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8590192 | es |
dc.identifier.doi | 10.1109/QUATIC.2018.00039 | es |
dc.publication.initialPage | 210 | es |
dc.publication.endPage | 219 | es |
dc.eventtitle | QUATIC 2018 : 11th International Conference on the Quality of Information and Communications Technology | es |
dc.eventinstitution | Coimbra, Portugal | es |
dc.relation.publicationplace | New York, USA | es |