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Hubbub-Scale: Towards Reliable Elastic Scaling under Multi-tenancy
KTH, Skolan för informations- och kommunikationsteknik (ICT), Programvaruteknik och Datorsystem, SCS.
KTH, Skolan för informations- och kommunikationsteknik (ICT), Programvaruteknik och Datorsystem, SCS.
Department of Computer Architecture. Universitat Politecnica de Catalunya. Barcelona, Spain.
KTH, Skolan för informations- och kommunikationsteknik (ICT), Programvaruteknik och Datorsystem, SCS.
2016 (engelsk)Inngår i: Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016, IEEE conference proceedings, 2016, s. 233-244Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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 over-provision 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.

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2016. s. 233-244
Serie
IEEE-ACM International Symposium on Cluster Cloud and Grid Computing, ISSN 2376-4414
Emneord [en]
Cloud computing, Correlation, Elasticity, Interference, Measurement, Reliability, System analysis and design, Cloud, Elasticity, Performance interference, Predictable Performance
HSV kategori
Forskningsprogram
Datalogi
Identifikatorer
URN: urn:nbn:se:kth:diva-189998DOI: 10.1109/CCGrid.2016.71ISI: 000382529800030Scopus ID: 2-s2.0-84983417729ISBN: 978-1-5090-2453-7 (tryckt)OAI: oai:DiVA.org:kth-189998DiVA, id: diva2:950143
Konferanse
18 July 2016, Article number 7515693, Pages 233-24416th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016; Cartagena; Colombia; 16 May 2016 through 19 May 2016
Prosjekter
EMJD-DC
Merknad

QC 20160921

Tilgjengelig fra: 2016-07-27 Laget: 2016-07-27 Sist oppdatert: 2019-09-20bibliografisk kontrollert

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