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Scalable data management in distributed information systems

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Scalable data management in distributed information systems

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dc.contributor.author Pallardó Lozoya, María Remedios es_ES
dc.contributor.author Esparza Peidro, Javier es_ES
dc.contributor.author García Escriva, José Ramón es_ES
dc.contributor.author Decker, Hendrik es_ES
dc.contributor.author Muñoz Escoí, Francisco Daniel es_ES
dc.date.accessioned 2014-11-25T11:20:37Z
dc.date.available 2014-11-25T11:20:37Z
dc.date.issued 2011
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/44808
dc.description.abstract [EN] In the era of cloud computing and huge information systems, distributed applications should manage dynamic workloads; i.e., the amount of client requests per time unit may vary frequently and servers should rapidly adapt their computing efforts to those workloads. Cloud systems provide a solid basis for this kind of applications but most of the traditional relational database systems are unprepared to scale up with this kind of distributed systems. This paper surveys different techniques being used in modern SQL, NoSQL and NewSQL systems in order to increase the scalability and adaptability in the management of persistent data. © 2011 Springer-Verlag. es_ES
dc.description.sponsorship This work has been supported by EU FEDER and Spanish MICINN under research grants TIN2009-14460-C03-01 and TIN2010-17193
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Lecture Notes in Computer Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cloud Computing es_ES
dc.subject Data Management es_ES
dc.subject Distributed System es_ES
dc.subject High Availability es_ES
dc.subject NoSQL es_ES
dc.subject Scalability es_ES
dc.subject Client request es_ES
dc.subject Cloud systems es_ES
dc.subject Distributed applications es_ES
dc.subject Distributed information systems es_ES
dc.subject Distributed systems es_ES
dc.subject Scale-up es_ES
dc.subject Solid basis es_ES
dc.subject Time units es_ES
dc.subject Distributed database systems es_ES
dc.subject Information systems es_ES
dc.subject Internet es_ES
dc.subject Relational database systems es_ES
dc.subject Information management es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Scalable data management in distributed information systems es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso
dc.identifier.doi 10.1007/978-3-642-25126-9_31
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-14460-C03-01/ES/Sistemas Distribuidos Fiables, Dinamicos Y Adaptables (Upv)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2010-17193/ES/MEJORAS EN LA INTEGRIDAD, DINAMICIDAD, ESCALABILIDAD Y ADAPTABILIDAD DE LOS SISTEMAS DISTRIBUIDOS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Pallardó Lozoya, MR.; Esparza Peidro, J.; García Escriva, JR.; Decker, H.; Muñoz Escoí, FD. (2011). Scalable data management in distributed information systems. Lecture Notes in Computer Science. 7046:208-217. https://doi.org/10.1007/978-3-642-25126-9_31 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename Confederated International Workshops and Posters: EI2N plus NSF ICE, ICSP plus INBAST, ISDE, ORM, OTMA, SWWS plus MONET plus SeDeS, and VADER
dc.relation.conferencedate October 17-21, 2011
dc.relation.conferenceplace Hersonissos, Greece
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-642-25126-9_31 es_ES
dc.description.upvformatpinicio 208 es_ES
dc.description.upvformatpfin 217 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 7046 es_ES
dc.relation.senia 215400
dc.contributor.funder Ministerio de Ciencia e Innovación
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