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E2FS: an elastic storage system for cloud computing

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E2FS: an elastic storage system for cloud computing

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dc.contributor.author Chen, Longbin es_ES
dc.contributor.author Qiu, Meikang es_ES
dc.contributor.author Song, Jeungeun es_ES
dc.contributor.author Xiong, Zenggang es_ES
dc.contributor.author Hassan Mohamed, Houcine es_ES
dc.date.accessioned 2020-10-22T03:31:52Z
dc.date.available 2020-10-22T03:31:52Z
dc.date.issued 2018-03 es_ES
dc.identifier.issn 0920-8542 es_ES
dc.identifier.uri http://hdl.handle.net/10251/152796
dc.description.abstract [EN] In cloud storage, replication technologies are essential to fault tolerance and high availability of data. While achieving the goal of high availability, replication brings extra number of active servers to the storage system. Extra active servers mean extra power consumption and capital expenditure. Furthermore, the lack of classification of data makes replication scheme fixed at the very beginning. This paper proposes an elastic and efficient file storage called E2FS for big data applications. E2FS can dynamically scale in/out the storage system based on real-time demands of big data applications. We adopt a novel replication scheme based on data blocks, which provides a fine-grained maintenance of the data in the storage system. E2FS analyzes features of data and makes dynamic replication decision to balance the cost and performance of cloud storage. To evaluate the performance of proposed work, we implement a prototype of E2FS and compare it with HDFS. Our experiments show E2FS can outperform HDFS in elasticity while achieving guaranteed performance for big data applications. es_ES
dc.description.sponsorship This work is supported by NSF CNS-1457506 and NSF CNS-1359557 es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof The Journal of Supercomputing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Elastic replication es_ES
dc.subject Data usage analysis es_ES
dc.subject Cloud storage es_ES
dc.subject Availability es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title E2FS: an elastic storage system for cloud computing es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11227-016-1827-3 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSF//1359557/US/EAGER: Towards Low-Latency Low-Power Heterogeneous Memory Access/
dc.relation.projectID info:eu-repo/grantAgreement/NSF//1457506/US/EAGER: Towards Low-Latency Low-Power Heterogeneous Memory Access/
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Chen, L.; Qiu, M.; Song, J.; Xiong, Z.; Hassan Mohamed, H. (2018). E2FS: an elastic storage system for cloud computing. The Journal of Supercomputing. 74(3):1045-1060. https://doi.org/10.1007/s11227-016-1827-3 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11227-016-1827-3 es_ES
dc.description.upvformatpinicio 1045 es_ES
dc.description.upvformatpfin 1060 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 74 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\379952 es_ES
dc.contributor.funder National Science Foundation, EEUU es_ES
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