首页> 外文会议>IEEE International Conference on Cloud Computing >Towards Improving Data Center Utilisation by Reducing Fragmentation
【24h】

Towards Improving Data Center Utilisation by Reducing Fragmentation

机译:通过减少碎片来提高数据中心的利用率

获取原文

摘要

Many enterprise organizations, like large e-commerce platforms, are consolidating their ICT infrastructure on private clouds to harness cloud properties of scalability and elasticity. Administratively many of these cloud deployments use pre-defined VM sizes to ease effort of use and placement. With this sizing, workloads' requirements poorly match with the offered sizes leading to poor VM and host utilisations. This paper proposes alternate VM sizing approaches to overcome this and compares internal, external resource fragmentation in each case. To evaluate this, utilisation traces from the private cloud of Flipkart, having thousands of servers and VMs are used. Evaluations show that applications as well as host utilisation benefits accrue by customising VM sizes to application requirements. We also show how VM sizes and host configurations influence consolidation ratios and utilisation.
机译:许多企业组织(例如大型电子商务平台)正在将其ICT基础结构整合到私有云上,以利用可伸缩性和弹性的云属性。从管理上讲,这些云部署中的许多部署都使用预定义的VM大小,以简化使用和放置的工作。通过这种大小调整,工作负载的要求无法与所提供的大小相匹配,从而导致VM和主机利用率下降。本文提出了另一种虚拟机大小调整方法来克服此问题,并比较了每种情况下的内部,外部资源碎片。为了对此进行评估,使用了来自Flipkart私有云的利用率跟踪,该跟踪具有数千个服务器和VM。评估表明,通过根据应用程序需求自定义VM大小,可以提高应用程序和主机利用率。我们还将展示VM大小和主机配置如何影响整合率和利用率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号