A Data-Aware Scheduling Strategy for DMCF workflows over Hercules

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dc.contributor.author Marozzo, Fabrizio
dc.contributor.author Carretero Pérez, Jesús
dc.contributor.author Rodrigo Duro, Francisco José
dc.contributor.author García Blas, Javier
dc.contributor.author Talia, Domenico
dc.contributor.author Trunfio, Paolo
dc.contributor.editor Carretero Pérez, Jesús
dc.contributor.editor García Blas, Javier
dc.contributor.editor Margenov, Svetozar
dc.contributor.other Universidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)
dc.date.accessioned 2017-02-20T10:13:20Z
dc.date.available 2017-02-20T10:13:20Z
dc.date.issued 2016-10-06
dc.identifier.bibliographicCitation Carretero Pérez, Jesús; et.al. (eds.). (2016) Proceedings of the Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016): Sofia, Bulgaria. Universidad Carlos III de Madrid, pp. 37-44.
dc.identifier.isbn 978-84-617-7450-0
dc.identifier.uri http://hdl.handle.net/10016/24234
dc.description Proceedings of: Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016). Sofia (Bulgaria), October, 6-7, 2016.
dc.description.abstract As data-intensive scientific prevalence arises, there is a necessity of simplifying the development, deployment, and execution of complex data analysis applications. The Data Mining Cloud Framework is a service-oriented system for allowing users to design and execute data analysis applications, defined as workflows, on cloud platforms, relying on cloud-provided storage services for I/O operations. Hercules is an in-memory I/O solution that can be deployed as an alternative to cloud storage services, providing additional performance and flexibility features. This work extends the DMCF-Hercules cooperation by applying novel data placement and task scheduling techniques for exposing and exploiting data locality in data-intensive workflows.
dc.description.sponsorship This work is partially supported by EU under the COST Program Action IC1305: Network for Sustainable Ultrascale Computing (NESUS).
dc.format.extent 8
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject.other DMCF
dc.subject.other Hercules
dc.subject.other Workflows
dc.subject.other In-memory storage
dc.subject.other Data cache
dc.subject.other Microsoft Azure
dc.subject.other Data locality
dc.title A Data-Aware Scheduling Strategy for DMCF workflows over Hercules
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.type.version publishedVersion
dc.relation.eventdate October, 6-7, 2016
dc.relation.eventnumber 3
dc.relation.eventplace Sofia, Bulgaria
dc.relation.eventtitle International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 37
dc.identifier.publicationlastpage 44
dc.identifier.publicationtitle Proceedings of the Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016): Sofia, Bulgaria
dc.identifier.uxxi CC/0000024925
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