EXPERIMENTE OS SERVIÇOS DEMONSTRAÇÂO
    • Live Chat
    • Give A Call
    • Video Chat
  • ENTRAR
Nubo
  • CONTATO : (51) 99487-2317
    • Telefone : (51) 99487-2317
    • Whatsapp : (51) 99487-2317
    • E-mail: comercial@nubo.ai
  • Home
  • Soluções
    • Para Equipes de TI Alta disponibilidade nas operações fiscais
    • Para Contabilidades Agilidade e segurança no processo contábil
  • Produtos
    • Nubo Guard Monitoração e controle na emissão de documentos fiscais eletrônicos
    • Nubo taxGO Gestão e Custódia de Documentos Fiscais Eletrônicos
  • Parceiros
    • Programas
    • Revendas
    • Software House
  • Sobre
    • Sobre Nós
    • Nubo Labs
    • Contate-nos
CONTATE-NOS
  • Artigo Científico
  • out 26

E-eco: Performance-aware energy-efficient cloud data center orchestration

The high energy consumption of data centers has been a recurring issue in recent research. In cloud environments, several techniques are being used that aim for energy efficiency, ranging from scaling the processors frequency, to the use of sleep states during idle periods and the consolidation of virtual machines. Although these techniques enable a reduction in power consumption, they usually impact application performance. In this paper, we present an orchestration of different energy-savings techniques in order to improve the trade-off between energy consumption and application performance. To this end, we implemented the Energy-Efficient Cloud Orchestrator – e-eco – a management system that acts along with the cloud load balancer deciding which technique to apply during execution. To evaluate e-eco, tests were carried out in a real environment using scale-out applications on a dynamic cloud infrastructure, taking into account transactions per second as a performance metric. In addition to the empirical experiments, we also analyzed the scalability of our approach with an enhanced version of the CloudSim simulator. Results of our evaluations demonstrated that e-eco is able to reduce energy consumption up to 25% compared to power-agnostic approaches at a cost of only 6% of extra SLA violations. When compared to existing power-aware approaches, e-eco achieved the best trade-off between performance and energy-savings. These results showed that our orchestration approach showed a better balance in regard to a more energy-efficient data center with smaller impact on application performance when compared with other works presented in the literature.

https://www.sciencedirect.com/science/article/pii/S1084804516302569

Related Posts

Artigo Científico

Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters

AbstractWith the emergence of data-processing frameworks like Hadoop and Spark, a new concept of a cluster resource manager was necessary to deliver per-application containerwrapped on-demand resources with high scalability on a large scale. The container-based…

admin
  • out 26
Artigo Científico

Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments

Abstract: The use of virtualization technologies in high performance computing (HPC) environments has traditionally been avoided due to their inherent performance overhead. However, with the rise of container-based virtualization implementations, such as Linux VServer, OpenVZ…

admin
  • out 26

Post a Comments

Posts recentes

  • Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters
  • Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments
  • A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters
  • Towards better manageability of database clusters on cloud computing platforms
  • Green software development for multi-core architectures

Comentários

  • ActionScheduler em wc_admin_unsnooze_admin_notes
  • ActionScheduler em wc_admin_unsnooze_admin_notes
  • ActionScheduler em wc_admin_unsnooze_admin_notes
  • ActionScheduler em wc_admin_unsnooze_admin_notes
  • ActionScheduler em wc_admin_unsnooze_admin_notes

Arquivos

  • outubro 2019
  • março 2019

Categorias

  • Artigo Científico

Meta

  • Acessar
  • Feed de posts
  • Feed de comentários
  • WordPress.org

Subscribe to Our Blog

I want the latest update in...

Contato

  • Iconvendas@nubo.solutions
  • Icon(+55) 11 3522-3633
  • IconTecnopuc, Porto Alegre, RS
  • Live Chat

Latest Post

Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters

  • 26/10/2019
  • [rt_reading_time postfix="mins read" postfix_singular="min read"]

Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments

  • 26/10/2019
  • [rt_reading_time postfix="mins read" postfix_singular="min read"]

A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters

  • 26/10/2019
  • [rt_reading_time postfix="mins read" postfix_singular="min read"]

Towards better manageability of database clusters on cloud computing platforms

  • 26/10/2019
  • [rt_reading_time postfix="mins read" postfix_singular="min read"]
Advertisement

Advertisement

Follows Us

Empresa

  • Sobre Nós
  • Contate-nos
  • Nubo Labs

Plataforma

  • Nubo Guard
  • Nubo taxGO

Suporte

  • Base de Conhecimento

Contato

  • Iconvendas@nubo.ai
  • Icon+55 51 99487-2317
  • IconTecnopuc, Porto Alegre, RS
  • Live Chat

Copyright © 2023 Nubo. All rights reserved.