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dc.contributor.authorExpósito, Roberto R.
dc.contributor.authorLópez Taboada, Guillermo
dc.contributor.authorRamos Garea, Sabela
dc.contributor.authorGonzález-Domínguez, Jorge
dc.contributor.authorTouriño, Juan
dc.contributor.authorDoallo Biempica, Ramón
dc.date.accessioned2018-07-06T14:00:20Z
dc.date.available2018-07-06T14:00:20Z
dc.date.issued2013-12
dc.identifier.citationExpósito, R. R., Taboada, G. L., Ramos, S., González-Domínguez, J., Touriño, J., & Doallo, R. (2013). Analysis of I/O performance on an Amazon EC2 cluster compute and high I/O platform. Journal of grid computing, 11(4), 613-631.es_ES
dc.identifier.issn1570-7873
dc.identifier.issn1572-9184
dc.identifier.urihttp://hdl.handle.net/2183/20868
dc.description“This is a post-peer-review, pre-copyedit version of an article published in Journal of Grid Computing. The final authenticated version is available online at: https://doi.org/10.1007/s10723-013-9250-yes_ES
dc.description.abstract[Abstract] Cloud computing is currently being explored by the scientific community to assess its suitability for High Performance Computing (HPC) environments. In this novel paradigm, compute and storage resources, as well as applications, can be dynamically provisioned on a pay-per-use basis. This paper presents a thorough evaluation of the I/O storage subsystem using the Amazon EC2 Cluster Compute platform and the recent High I/O instance type, to determine its suitability for I/O-intensive applications. The evaluation has been carried out at different layers using representative benchmarks in order to evaluate the low-level cloud storage devices available in Amazon EC2, ephemeral disks and Elastic Block Store (EBS) volumes, both on local and distributed file systems. In addition, several I/O interfaces (POSIX, MPI-IO and HDF5) commonly used by scientific workloads have also been assessed. Furthermore, the scalability of a representative parallel I/O code has also been analyzed at the application level, taking into account both performance and cost metrics. The analysis of the experimental results has shown that available cloud storage devices can have different performance characteristics and usage constraints. Our comprehensive evaluation can help scientists to increase significantly (up to several times) the performance of I/O-intensive applications in Amazon EC2 cloud. An example of optimal configuration that can maximize I/O performance in this cloud is the use of a RAID 0 of 2 ephemeral disks, TCP with 9,000 bytes MTU, NFS async and MPI-IO on the High I/O instance type, which provides ephemeral disks backed by Solid State Drive (SSD) technology.es_ES
dc.description.sponsorshipMinisterio de Ciencia e Innovación; TIN2010-16735es_ES
dc.description.sponsorshipMinisterio de Educación; AP2010-4348es_ES
dc.description.sponsorshipGalicia. Consellería de Cultura, Educación e Ordenación Universitaria; ref. 2010/6es_ES
dc.language.isoenges_ES
dc.publisherSpringer Netherlandses_ES
dc.relation.urihttps://doi.org/10.1007/s10723-013-9250-yes_ES
dc.subjectCloud computinges_ES
dc.subjectVirtualizationes_ES
dc.subjectI/O performance evaluationes_ES
dc.subjectNetwork File System (NFS)es_ES
dc.subjectMPI-IOes_ES
dc.subjectSolid State Drive (SSD)es_ES
dc.titleAnalysis of I/O Performance on an Amazon EC2 Cluster Compute and High I/O Platformes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleJournal of Grid Computinges_ES
UDC.volume11, Issue 4, pp 613–631 | Cite ases_ES
UDC.issue4es_ES
UDC.startPage613es_ES
UDC.endPage631es_ES
dc.identifier.doi10.1007/s10723-013-9250-y


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