• DocumentCode
    651592
  • Title

    The Glasgow Raspberry Pi Cloud: A Scale Model for Cloud Computing Infrastructures

  • Author

    Fung Po Tso ; White, David R. ; Jouet, Simon ; Singer, J. ; Pezaros, Dimitrios P.

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Glasgow, Glasgow, UK
  • fYear
    2013
  • fDate
    8-11 July 2013
  • Firstpage
    108
  • Lastpage
    112
  • Abstract
    Data Centers (DC) used to support Cloud services often consist of tens of thousands of networked machines under a single roof. The significant capital outlay required to replicate such infrastructures constitutes a major obstacle to practical implementation and evaluation of research in this domain. Currently, most research into Cloud computing relies on either limited software simulation, or the use of a testbed environments with a handful of machines. The recent introduction of the Raspberry Pi, a low-cost, low-power single-board computer, has made the construction of a miniature Cloud DCs more affordable. In this paper, we present the Glasgow Raspberry Pi Cloud (PiCloud), a scale model of a DC composed of clusters of Raspberry Pi devices. The PiCloud emulates every layer of a Cloud stack, ranging from resource virtualisation to network behaviour, providing a full-featured Cloud Computing research and educational environment.
  • Keywords
    cloud computing; computer centres; Glasgow raspberry pi cloud; PiCloud; Raspberry Pi devices; capital outlay; cloud computing infrastructures; cloud computing research; cloud services; cloud stack; data centers; educational environment; miniature cloud DC; network behaviour; networked machines; resource virtualisation; single-board computer; software simulation; Cloud computing; Computational modeling; Computer architecture; Containers; Linux; Servers; ARM-based Data Centre; Cloud Emulator; Data Centre; Raspberry Pi Cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems Workshops (ICDCSW), 2013 IEEE 33rd International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4799-3247-4
  • Type

    conf

  • DOI
    10.1109/ICDCSW.2013.25
  • Filename
    6679872