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Cloud Storage Technology: Survey on Performance Aspects.

机译:云存储技术:性能方面的调查。

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摘要

Today's datasets from every space continue to rise from multi sources and screens: mobile, web enabled devices, surveillance, human generated via social media, machine generated via smart processes, messages, HPC, Financial, Broadcast, Post-Production, etc. These sets are growing exponentially, quickly becoming billions of assets, and consuming petabytes of capacity at a staggering speed - all of which must be quickly and efficiently shared between multiple data centers and accessed by millions of elastic users globally dispersed from anywhere at any time. Compounded by the decrease of disks technology form factor, increased capacity, speed and reliability. As well as advances in: CPU performance, memory speed/size, and faster global network presence; the operating system and access methodology is left with a daunting task of handling multi-threaded billions of calls to the storage sub-system, rendering it therefore inefficient or in need of augmentation. At this capacity and global distribution, traditional storage solutions become complex to deploy, hard to manage, difficult to scale; therefore, a new approach to view the performance aspect is needed.
机译:如今,来自各个领域和各个屏幕的数据集继续在多种来源和屏幕上兴起:移动设备,支持Web的设备,监控,通过社交媒体生成的人员,通过智能流程生成的机器,消息,HPC,财务,广播,后期制作等。它们正以指数级的速度增长,迅速成为数十亿资产,并以惊人的速度消耗了PB级的容量-所有这些必须在多个数据中心之间快速有效地共享,并且需要随时随地分布在全球各地的数百万个弹性用户进行访问。磁盘技术尺寸因素的减少,容量,速度和可靠性的增加使情况更加复杂。以及以下方面的进步:CPU性能,内存速度/大小和更快的全球网络存在;操作系统和访问方法的艰巨任务是处理对存储子系统的数十亿个多线程调用,因此使其效率低下或需要扩充。在这种容量和全球分布的情况下,传统存储解决方案的部署变得复杂,难以管理,难以扩展。因此,需要一种查看性能方面的新方法。

著录项

  • 作者

    Jose, Lliver.;

  • 作者单位

    Long Island University, The Brooklyn Center.;

  • 授予单位 Long Island University, The Brooklyn Center.;
  • 学科 Computer Science.;Information Science.;Information Technology.
  • 学位 M.S.
  • 年度 2014
  • 页码 144 p.
  • 总页数 144
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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