Self-management of applications QoS for energy optimization in datacenters

Frederico Alvares de Oliveira Jr. 1 Thomas Ledoux 1
1 ASCOLA - Aspect and composition languages
Inria Rennes – Bretagne Atlantique , Département informatique - EMN, LINA - Laboratoire d'Informatique de Nantes Atlantique
Abstract : As a direct consequence of the increasing popularity of Cloud Computing solutions, data centers are amazingly growing and hence have to urgently face with the energy consumption issue. Available solutions rely on Cloud Computing models and virtualization techniques to scale up/down application based on their performance metrics. Although those proposals can reduce the energy footprint of applications and by transitivity of cloud infrastructures, they do not consider the internal characteristics of applications to finely de fine a trade-off between applications Quality of Service and energy footprint. In this paper, we propose a self-adaptation approach that considers both application internals and system to reduce the energy footprint in cloud infrastructure. Each application and the infrastructure are equipped with their own control loop, which allows them to autonomously optimize their executions. Simulations show that the approach may lead to appreciable energy savings without interfering on application provider revenues.
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Conference papers
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Contributor : Thomas Ledoux <>
Submitted on : Wednesday, November 16, 2011 - 11:01:24 PM
Last modification on : Tuesday, December 4, 2018 - 9:04:02 AM


  • HAL Id : hal-00641902, version 1


Frederico Alvares de Oliveira Jr., Thomas Ledoux. Self-management of applications QoS for energy optimization in datacenters. 2nd International Workshop on Green Computing Middleware (GCM'2011), Dec 2011, Portugal. pp.0-0. ⟨hal-00641902⟩



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