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Data management techniques

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemases
dc.contributor.authorBilas, Angelos
dc.contributor.authorCarretero Pérez, Jesús
dc.contributor.authorCortes, Toni
dc.contributor.authorGarcía Blas, Francisco Javier
dc.contributor.authorGonzález Ferez, Pilar
dc.contributor.authorPapagiannis, Anastasios
dc.contributor.authorQueratl, Anna
dc.contributor.authorMarozo, Fabrizio
dc.contributor.authorSaloustros, Giorgios
dc.contributor.authorShoker, Ali
dc.contributor.authorTalia, Domenico
dc.contributor.authorTrunfio, Paolo
dc.date.accessioned2022-01-14T09:32:39Z
dc.date.available2022-01-14T09:32:39Z
dc.date.issued2019-01
dc.description.abstractToday, it is projected that data storage and management is becoming one of the key challenges in order to achieve ultrascale computing for several reasons. First, data is expected to grow exponentially in the coming years and this progression will imply that disruptive technologies will be needed to store large amounts of data and more importantly to access it in a timely manner. Second, the improvement of computing elements and their scalability are shifting application execution from CPU bound to I/O bound. This creates additional challenges for significantly improving the access to data to keep with computation time and thus avoid high-performance computing (HPC) from being underutilized due to large periods of I/O activity. Third, the two initially separate worlds of HPC that mainly consisted on one hand of simulations that are CPU bound and on the other hand of analytics that mainly perform huge data scans to discover information and are I/O bound are blurring. Now, simulations and analytics need to work cooperatively and share the same I/O infrastructure.en
dc.identifier.bibliographicCitationBilas, A., Carretero, J., Cortes, T., García-Blas, J. González-Pérez, P., Papagiannis, A., Queralt, A., Marozzo, F., Saloustros, G., Shoker, A., Talia, D., Trunfio, P. (2019). Data management techniques. En J. Carretero (Ed.), Ultrascale Computing Systems (85-126). IET Digital Libraryen
dc.identifier.doihttps://doi.org/10.1049/PBPC024E_ch4
dc.identifier.isbn9781785618338
dc.identifier.publicationfirstpage85
dc.identifier.publicationlastpage126
dc.identifier.publicationtitleUltrascale computing systemsen
dc.identifier.urihttps://hdl.handle.net/10016/33876
dc.identifier.uxxiCO/0000009882
dc.language.isoengen
dc.publisherIET - The Institution Of Engineering And Technologyen
dc.rights© The Institution of Engineering and Technology 2019en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.otheravailabilityen
dc.subject.otherscalabilityen
dc.subject.otherCRDTen
dc.subject.otherdataclayen
dc.subject.otherkey-value storesen
dc.subject.otherssdsen
dc.subject.othermemory mapped I/Oen
dc.subject.otherRDMA-Based communicationen
dc.subject.otherdata-centricen
dc.subject.otherdata-localityen
dc.subject.otherworkflowsen
dc.subject.othercloud computingen
dc.subject.otherDMCFen
dc.subject.otherHerculesen
dc.titleData management techniquesen
dc.typebook part*
dc.type.hasVersionAM*
dspace.entity.typePublication
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