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Hubbub-scale: towards reliable elastic scaling under multi-tenancy
Rameshan, Navaneeth; Ying, Liu; Navarro Moldes, Leandro; Vlassov, Vladimir
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
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.
Peer Reviewed
-Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
-Cloud computing
-Virtual computer systems
-Cloud computing
-Performance evaluation
-Resource allocation
-Virtual machines
-Performance guarantee uncertainty
-Provisioned services
-VM
-Elasticity controller
-Redis
-memcached
-SLO
-Hosting platform
-Performance interference
-Cloud platform
-Cost reduction
-Service level objective
-Elastic resource provisioning
-Multitenancy
-Elastic scaling
-Hubbub-scale
-Computació en núvol
-Sistemes virtuals (Informàtica)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Article - Published version
Conference Object
Institute of Electrical and Electronics Engineers (IEEE)
         

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