Hubbub-scale: towards reliable elastic scaling under multi-tenancy
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
Elastic resource provisioning is used to guarantee service level objective (SLO) with 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 to build an elasticity controller will fail if interference is not modelled. We identify and control the different sources of unpredictability and build Hubbub-Scale, an elasticity controller that is reliable in the presence of performance interference. Our evaluation with Redis and Memcached show that Hubbub-Scale efficiently conforms to the SLO requirements under scenarios where standard modelling approaches fail.
CitationRameshan, N., Ying, L., Navarro, L., Vlassov, V. Hubbub-scale: towards reliable elastic scaling under multi-tenancy. A: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. "2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2016): Cartagena, Colombia: 16-19 May 2016". Cartagena: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 233-244.