Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3336
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dc.contributor.authorBenz, Konstantin-
dc.contributor.authorBohnert, Thomas Michael-
dc.date.accessioned2019-03-29T07:13:42Z-
dc.date.available2019-03-29T07:13:42Z-
dc.date.issued2014-
dc.identifier.isbn978-1-4799-5063-8de_CH
dc.identifier.isbn978-1-4799-5062-1de_CH
dc.identifier.issn2159-6190de_CH
dc.identifier.issn2159-6182de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/16400-
dc.description.abstractIn cloud environments High Availability characteristics are established by the usage of failover software (like e.g. HAProxy, Keepalive or Pacemaker). Though these tools enable automatic recovery of cloud services from outages, the recovery can still be very slow if it is not configured adequately. In this paper we developed a "Recovery Time Test" to determine if recovery time depends on configuration of the failover software and how recovery time depends on configuration settings. Another goal of the Recovery Time Test is to determine the factor by which recovery time can be decreased by a given configuration. As proof of concept, we applied the Recovery Time Test to an OpenStack cloud environment which is controlled by the Pacemaker failover software. Pacemaker mean recovery time can take a value between 110 and 160 seconds, if the tool is configured badly. We found that with a proper configuration Pacemaker mean recovery time can be reduced significantly to a value between 15 and 20 seconds.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectRecovery time testde_CH
dc.subjectDependabilityde_CH
dc.subjectHigh availabilityde_CH
dc.subjectCloudde_CH
dc.subject.ddc004: Informatikde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleImpact of pacemaker failover configuration on mean time to recovery for small cloud clustersde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.21256/zhaw-3336-
dc.identifier.doi10.1109/CLOUD.2014.59de_CH
zhaw.conference.details2014 IEEE 7th International Conference on Cloud Computing, Anchorage, 27 June - 2 July 2014de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end391de_CH
zhaw.pages.start384de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedings2014 IEEE 7th International Conference on Cloud Computingde_CH
Appears in collections:Publikationen School of Engineering

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Benz, K., & Bohnert, T. M. (2014). Impact of pacemaker failover configuration on mean time to recovery for small cloud clusters [Conference paper]. 2014 IEEE 7th International Conference on Cloud Computing, 384–391. https://doi.org/10.21256/zhaw-3336
Benz, K. and Bohnert, T.M. (2014) ‘Impact of pacemaker failover configuration on mean time to recovery for small cloud clusters’, in 2014 IEEE 7th International Conference on Cloud Computing. IEEE, pp. 384–391. Available at: https://doi.org/10.21256/zhaw-3336.
K. Benz and T. M. Bohnert, “Impact of pacemaker failover configuration on mean time to recovery for small cloud clusters,” in 2014 IEEE 7th International Conference on Cloud Computing, 2014, pp. 384–391. doi: 10.21256/zhaw-3336.
BENZ, Konstantin und Thomas Michael BOHNERT, 2014. Impact of pacemaker failover configuration on mean time to recovery for small cloud clusters. In: 2014 IEEE 7th International Conference on Cloud Computing. Conference paper. IEEE. 2014. S. 384–391. ISBN 978-1-4799-5063-8
Benz, Konstantin, and Thomas Michael Bohnert. 2014. “Impact of Pacemaker Failover Configuration on Mean Time to Recovery for Small Cloud Clusters.” Conference paper. In 2014 IEEE 7th International Conference on Cloud Computing, 384–91. IEEE. https://doi.org/10.21256/zhaw-3336.
Benz, Konstantin, and Thomas Michael Bohnert. “Impact of Pacemaker Failover Configuration on Mean Time to Recovery for Small Cloud Clusters.” 2014 IEEE 7th International Conference on Cloud Computing, IEEE, 2014, pp. 384–91, https://doi.org/10.21256/zhaw-3336.


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