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Augmenting elasticity controllers for improved accuracy
dc.contributor.author | Rameshan, Navaneeth |
dc.contributor.author | Ying, Liu |
dc.contributor.author | Navarro Moldes, Leandro |
dc.contributor.author | Vlassov, Vladimir |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2016-10-31T17:23:47Z |
dc.date.issued | 2016 |
dc.identifier.citation | Rameshan, N., Ying, L., Navarro, L., Vlassov, V. Augmenting elasticity controllers for improved accuracy. A: IEEE International Conference on Autonomic Computing. "2016 IEEE International Conference on Autonomic Computing (ICAC 2016): Wuerzburg, Germany: 17-22 July 2016". Wuerzburg: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 117-126. |
dc.identifier.isbn | 978-1-5090-1655-6 |
dc.identifier.uri | http://hdl.handle.net/2117/91297 |
dc.description.abstract | Elastic resource provisioning is used to guarantee service level objectives (SLO) at reduced cost in a Cloud platform. However, performance interference in the hosting platform introduces uncertainty in the performance guarantees of provisioned services. Existing elasticity controllers are either unaware of this interference or overprovision resources to meet the SLO. In this paper, we show that assuming predictable performance of VMs in a multi-tenant environment to scale, will result in long periods of SLO violations. We augment the elasticity controller to be aware of interference and improve the convergence time of scaling without over provisioning. We perform experiments with Memcached and compare our solution against a baseline elasticity controller that is unaware of performance interference. Our results show that augmentation can reduce SLO violations by 65% or more and also save provisioning costs compared to an interference oblivious controller. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Cloud computing |
dc.subject.other | Cloud computing |
dc.subject.other | Contracts |
dc.subject.other | Resource allocation |
dc.subject.other | Virtual machines |
dc.subject.other | Elastic resource provisioning |
dc.subject.other | Service level objective |
dc.subject.other | SLO |
dc.subject.other | Cloud platform |
dc.subject.other | Virtual machine |
dc.subject.other | VM |
dc.subject.other | Multitenant environment |
dc.title | Augmenting elasticity controllers for improved accuracy |
dc.type | Conference report |
dc.subject.lemac | Computació en núvol |
dc.contributor.group | Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts |
dc.identifier.doi | 10.1109/ICAC.2016.60 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/document/7573123/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 19161370 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Rameshan, N.; Ying, L.; Navarro, L.; Vlassov, V. |
local.citation.contributor | IEEE International Conference on Autonomic Computing |
local.citation.pubplace | Wuerzburg |
local.citation.publicationName | 2016 IEEE International Conference on Autonomic Computing (ICAC 2016): Wuerzburg, Germany: 17-22 July 2016 |
local.citation.startingPage | 117 |
local.citation.endingPage | 126 |