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Efficient Provisioning of Bursty Scientific Workloads on the Cloud Using Adaptive Elasticity Control

Författare:
  • Ahmed Ali-Eldin
  • Maria Kihl
  • Johan Tordsson
  • Erik Elmroth
Publiceringsår: 2012
Språk: Engelska
Publikation/Tidskrift/Serie: [Host publication title missing]
Dokumenttyp: Konferensbidrag
Förlag: ACM

Sammanfattning

Elasticity is the ability of a cloud infrastructure to dynamically

change the amount of resources allocated to a running

service as load changes. We build an autonomous elasticity

controller that changes the number of virtual machines allocated

to a service based on both monitored load changes

and predictions of future load. The cloud infrastructure is

modeled as a G=G=N queue. This model is used to construct

a hybrid reactive-adaptive controller that quickly reacts

to sudden load changes, prevents premature release of

resources, takes into account the heterogeneity of the workload,

and avoids oscillations. Using simulations with Web

and cluster workload traces, we show that our proposed controller

lowers the number of delayed requests by a factor of

70 for the Web traces and 3 for the cluster traces when compared

to a reactive controller. Our controller also decreases

the average number of queued requests by a factor of 3 for

both traces, and reduces oscillations by a factor of 7 for

the Web traces and 3 for the cluster traces. This comes at

the expense of between 20% and 30% over-provisioning, as

compared to a few percent for the reactive controller.

Nyckelord

  • Electrical Engineering, Electronic Engineering, Information Engineering

Övriga

ScienceCloud 3rd Workshop on Scientific Cloud Computing
Published
  • LCCC
  • Broadband Communication-lup-obsolete

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