Publication:
Adaptation, deployment and evaluation of a railway simulator in cloud environments

dc.contributor.advisorGarcƭa FernƔndez, Alberto
dc.contributor.authorCaĆ­no Lores, Silvina
dc.contributor.departamentoUC3M. Departamento de InformƔticaes
dc.date.accessioned2018-02-02T13:34:58Z
dc.date.available2018-02-02T13:34:58Z
dc.date.issued2014-06
dc.date.submitted2014-07-14
dc.description.abstractMany scientific areas make extensive use of computer simulations to study realworld processes. As they become more complex and resource-intensive, traditional programming paradigms running on supercomputers have shown to be limited by their hardware resources. The Cloud and its elastic nature has been increasingly seen as a valid alternative for simulation execution, as it aims to provide virtually infinite resources, thus unlimited scalability. In order to bene t from this, simulators must be adapted to this paradigm since cloud migration tends to add virtualization and communication overhead. This work has the main objective of migrating a power consumption railway simulator to the Cloud, with minimal impact in the original code and preserving performance. We propose a data-centric adaptation based in MapReduce to distribute the simulation load across several nodes while minimising data transmission. We deployed our solution on an Amazon EC2 virtual cluster and measured its performance. We did the same in in our local cluster to compare the solution's performance against the original application when the Cloud's overhead is not present. Our tests show that the resulting application is highly scalable and shows a better overall performance regarding the original simulator in both environments. This document summarises the author's work during the whole adaptation development process .es
dc.description.degreeIngenierƭa InformƔticaes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10016/26192
dc.language.isoenges
dc.rightsAtribuciĆ³n-NoComercial-SinDerivadas 3.0 EspaƱa*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaInformƔticaes
dc.subject.otherRailway simulatores
dc.subject.otherCloud computinges
dc.subject.otherSimulationes
dc.titleAdaptation, deployment and evaluation of a railway simulator in cloud environmentses
dc.typebachelor thesis*
dspace.entity.typePublication
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