国产bbaaaaa片,成年美女黄网站色视频免费,成年黄大片,а天堂中文最新一区二区三区,成人精品视频一区二区三区尤物

首頁(yè)> 外文期刊>Journal of network and computer applications >E-eco: Performance-aware energy-efficient cloud data center orchestration
【24h】

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

機(jī)譯：E-eco：注重性能的節(jié)能云數(shù)據(jù)中心編排

獲取原文
獲取原文并翻譯 | 示例
  • 摘要
  • 著錄項(xiàng)
  • 相似文獻(xiàn)
  • 相關(guān)主題

摘要

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.
機(jī)譯：數(shù)據(jù)中心的高能耗一直是最近研究中反復(fù)出現(xiàn)的問(wèn)題。在云環(huán)境中，正在使用幾種旨在提高能效的技術(shù)，范圍包括擴(kuò)展處理器頻率，在空閑期間使用睡眠狀態(tài)以及整合虛擬機(jī)。盡管這些技術(shù)可以降低功耗，但它們通常會(huì)影響應(yīng)用程序性能。在本文中，我們提出了各種節(jié)能技術(shù)的流程，以改善能耗和應(yīng)用程序性能之間的平衡。為此，我們實(shí)施了節(jié)能型云編排器-e-eco-一種管理系統(tǒng)，該系統(tǒng)與云負(fù)載均衡器一起工作，確定執(zhí)行期間應(yīng)采用的技術(shù)。為了評(píng)估e-eco，在真實(shí)環(huán)境中使用動(dòng)態(tài)云基礎(chǔ)架構(gòu)上的橫向擴(kuò)展應(yīng)用程序進(jìn)行了測(cè)試，并將每秒事務(wù)數(shù)作為性能指標(biāo)。除了經(jīng)驗(yàn)實(shí)驗(yàn)之外，我們還使用CloudSim模擬器的增強(qiáng)版分析了我們方法的可擴(kuò)展性。我們的評(píng)估結(jié)果表明，與電力不可知的方法相比，e-eco能夠?qū)⒛芎慕档投噙_(dá)25％，而僅以違反SLA的額外費(fèi)用為6％。與現(xiàn)有的節(jié)能意識(shí)方法相比，e-eco在性能和節(jié)能之間達(dá)到了最佳折衷。這些結(jié)果表明，與文獻(xiàn)中提出的其他工作相比，我們的編排方法在更節(jié)能的數(shù)據(jù)中心方面表現(xiàn)出更好的平衡，并且對(duì)應(yīng)用程序性能的影響較小。

著錄項(xiàng)

  • 來(lái)源
    《Journal of network and computer applications》 |2017年第1期|83-96|共14頁(yè)
  • 作者單位

    Pontificia Univ Catolica Rio Grande do Sul, Fac Informat, Porto Alegre, RS, Brazil;

    Pontificia Univ Catolica Rio Grande do Sul, Fac Informat, Porto Alegre, RS, Brazil;

    Pontificia Univ Catolica Rio Grande do Sul, Fac Informat, Porto Alegre, RS, Brazil;

    Univ Melbourne, Dept Comp & Informat Syst, Cloud Comp & Distributed Syst CLOUDS Lab, Melbourne, Vic 3010, Australia;

    Univ Melbourne, Dept Comp & Informat Syst, Cloud Comp & Distributed Syst CLOUDS Lab, Melbourne, Vic 3010, Australia;

  • 收錄信息 美國(guó)《科學(xué)引文索引》(SCI);美國(guó)《工程索引》(EI);
  • 原文格式 PDF
  • 正文語(yǔ)種 eng
  • 中圖分類
  • 關(guān)鍵詞

    Cloud application performance; Data center; Energy-efficient management;

    機(jī)譯：云應(yīng)用性能;數(shù)據(jù)中心;節(jié)能管理;

相似文獻(xiàn)

  • 外文文獻(xiàn)
  • 中文文獻(xiàn)
  • 專利
獲取原文

客服郵箱：kefu@zhangqiaokeyan.com

京公網(wǎng)安備：11010802029741號(hào) ICP備案號(hào)：京ICP備15016152號(hào)-6 六維聯(lián)合信息科技 (北京) 有限公司?版權(quán)所有

  • 客服微信

  • 服務(wù)號(hào)