• DocumentCode
    3256378
  • Title

    UStore: A Low Cost Cold and Archival Data Storage System for Data Centers

  • Author

    Quanlu Zhang ; Yafei Dai ; Fengqian Li ; Lintao Zhang

  • Author_Institution
    Peking Univ., Beijing, China
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    431
  • Lastpage
    441
  • Abstract
    Recent trend in cloud computing demands vast and ever increasing storage capacity for data centers. For many cloud service providers, much of the storage capacity demand is driven by cold and archival data, such as user uploaded contents, system logs, and backups. In this paper, we describe UStore, a hard disk based storage system designed for such workloads. We make the assumption that most data centers are already populated with computer servers and networking gears, and propose a solution to attach additional disks to these servers reliably at extremely low cost. The main component of UStore is a novel fat tree interconnect fabric to connect hard disks to existing servers and network infrastructure. To reduce cost, UStore leverages the mature commodity USB 3.0 technology to build the fabric, which has extremely low amortized cost per disk while still providing sufficient throughput to satisfy cold and archival workload. The software of the UStore system abstracts the system´s physical topology and provides a consistent view of the storage capacity to the upper layer services such as distributed file systems or backup services. In a sense, UStore can be regarded as external USB hard disks designed for data centers.
  • Keywords
    cloud computing; computer centres; hard discs; storage management; USB 3.0 technology; UStore system; cloud computing; data centers; external USB hard disks; fat tree interconnect fabric; hard disk based storage system; Control systems; Fabrics; Hard disks; Servers; Software; Topology; Universal Serial Bus; USB interconnect; archival storage; cold data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on
  • Conference_Location
    Columbus, OH
  • ISSN
    1063-6927
  • Type

    conf

  • DOI
    10.1109/ICDCS.2015.51
  • Filename
    7164929