Scheduler hierarchies to aid peta-scale cloud simulations with DISSECT-CF

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dc.contributor.author Kecskemeti, Gabor
dc.contributor.editor Carretero Pérez, Jesús
dc.contributor.editor García Blas, Javier
dc.contributor.editor Wyrzykowski, Roman
dc.contributor.editor Jeannot, Emmanuel
dc.contributor.other Universidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)
dc.date.accessioned 2015-11-13T09:06:11Z
dc.date.available 2015-11-13T09:06:11Z
dc.date.issued 2015-10
dc.identifier.bibliographicCitation Carretero Pérez, Jesús; et.al. (eds.). (2015) Proceedings of the Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015): Krakow, Poland. Universidad Carlos III de Madrid, pp. 71-81.
dc.identifier.isbn 978-84-608-2581-4
dc.identifier.uri http://hdl.handle.net/10016/22000
dc.description Proceedings of: Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). Krakow (Poland), September 10-11, 2015.
dc.description.abstract IaaS cloud simulators are frequently used for evaluating new scheduling practices. Unfortunately, most of these simulators scarcely allow the evaluation of larger-scale cloud infrastructures (i.e., with physical machine counts over a few thousand). Thus, they are seldom applicable for evaluating infrastructures available in commercial cloud settings (e.g., users mostly do not wait for simulations to complete in such settings). DISSECT-CF was shown to be better scaling than several other simulators, but peta-scale infrastructures with often millions of CPU cores were out of scope for DISSECT-CF as well. This paper reveals a hierarchical scheduler extension of DISSECT-CF that not only allows its users to evaluate peta-scale infrastructure behaviour, but also opens possibilities for analysing new multi-cloud scheduling techniques. The paper then analyses the performance of the extended simulator through large-scale synthetic workloads and compares its performance to DISSECT-CF’s past behaviour. Based on the analysis, the paper concludes with recommended simulation setups that will allow the evaluation of new schedulers for peta-scale clouds in a timely fashion (e.g., within minutes).
dc.description.sponsorship This work was partially supported by the European Union’s Horizon 2020 programme under grant agreement No 644179 (ENTICE), by the COST Program Action IC1305: Network for Sustainable Ultrascale Computing (NESUS) and by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.
dc.format.extent 11
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject.other Cloud computing
dc.subject.other Simulator
dc.subject.other Petascale
dc.subject.other Hierachical scheduling
dc.title Scheduler hierarchies to aid peta-scale cloud simulations with DISSECT-CF
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/644179/EU/ENTICE
dc.type.version publishedVersion
dc.relation.eventdate September 10-11, 2015
dc.relation.eventnumber 2
dc.relation.eventplace Krakow, Poland
dc.relation.eventtitle International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 71
dc.identifier.publicationlastpage 81
dc.identifier.publicationtitle Proceedings of the Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015): Krakow, Poland
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