- -

Managing Workflows on top of a Cloud Computing Orchestrator for using heterogeneous environments on e-Science

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Managing Workflows on top of a Cloud Computing Orchestrator for using heterogeneous environments on e-Science

Show simple item record

Files in this item

dc.contributor.author Carrión Collado, Abel Antonio es_ES
dc.contributor.author Caballer Fernández, Miguel es_ES
dc.contributor.author Blanquer Espert, Ignacio es_ES
dc.contributor.author Kotowski, Nelson es_ES
dc.contributor.author Jardim, Rodrigo es_ES
dc.contributor.author Dávila, Alberto M. R. es_ES
dc.date.accessioned 2018-04-29T04:14:08Z
dc.date.available 2018-04-29T04:14:08Z
dc.date.issued 2017 es_ES
dc.identifier.issn 1741-1106 es_ES
dc.identifier.uri http://hdl.handle.net/10251/101143
dc.description.abstract [EN] Scientific workflows (SWFs) are widely used to model processes in e-Science. SWFs are executed by means of workflow management systems (WMSs), which orchestrate the workload on top of computing infrastructures. The advent of cloud computing infrastructures has opened the door of using on-demand infrastructures to complement or even replace local infrastructures. However, new issues have arisen, such as the integration of hybrid resources or the compromise between infrastructure reutilisation and elasticity. In this article, we present an ad hoc solution for managing workflows exploiting the capabilities of cloud orchestrators to deploy resources on demand according to the workload and to combine heterogeneous cloud providers (such as on-premise clouds and public clouds) and traditional infrastructures (clusters) to minimise costs and response time. The work does not propose yet another WMS but demonstrates the benefits of the integration of cloud orchestration when running complex workflows. The article shows several configuration experiments from a realistic comparative genomics workflow called Orthosearch, to migrate memory-intensive workload to public infrastructures while keeping other blocks of the experiment running locally. The article computes running time and cost suggesting best practices. es_ES
dc.description.sponsorship This paper wants to acknowledge the support of the EUBrazilCC project, funded by the European Commission (STREP 614048) and the Brazilian MCT/CNPq N. 13/2012, for the use of its infrastructure. The authors would like also to thank the Spanish 'Ministerio de Economia y Competitividad' for the project 'Clusters Virtuales Elasticos y Migrables sobre Infraestructuras Cloud Hibridas' with reference TIN2013-44390-R. en_EN
dc.language Inglés es_ES
dc.publisher Inderscience Enterprises Ltd. es_ES
dc.relation CEE/614048 es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//TIN2013-44390-R/ES/CLUSTERS VIRTUALES ELASTICOS Y MIGRABLES SOBRE INFRAESTRUCTURAS CLOUD HIBRIDAS/ es_ES
dc.relation.ispartof International Journal of Web and Grid Services es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Workflow es_ES
dc.subject Workflow management systems es_ES
dc.subject Cloud orchestrator es_ES
dc.subject Multi-platform es_ES
dc.subject e-Science es_ES
dc.subject Cloud Computing es_ES
dc.subject Comparative genomics es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title Managing Workflows on top of a Cloud Computing Orchestrator for using heterogeneous environments on e-Science es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1504/IJWGS.2017.10003225 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.description.bibliographicCitation Carrión Collado, AA.; Caballer Fernández, M.; Blanquer Espert, I.; Kotowski, N.; Jardim, R.; Dávila, AMR. (2017). Managing Workflows on top of a Cloud Computing Orchestrator for using heterogeneous environments on e-Science. International Journal of Web and Grid Services. 13(4):375-402. doi:10.1504/IJWGS.2017.10003225 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1504/IJWGS.2017.10003225 es_ES
dc.description.upvformatpinicio 375 es_ES
dc.description.upvformatpfin 402 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\322769 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


This item appears in the following Collection(s)

Show simple item record