• DocumentCode
    680793
  • Title

    Affordable and Energy-Efficient Cloud Computing Clusters: The Bolzano Raspberry Pi Cloud Cluster Experiment

  • Author

    Abrahamsson, Pekka ; Helmer, Sven ; Phaphoom, Nattakarn ; Nicolodi, Lorenzo ; Preda, N. ; Miori, Lorenzo ; Angriman, Matteo ; Rikkila, Juha ; Xiaofeng Wang ; Hamily, Karim ; Bugoloni, Sara

  • Author_Institution
    Fac. of Comput. Sci., Free Univ. of Bozen-Bolzano, Bolzano, Italy
  • Volume
    2
  • fYear
    2013
  • fDate
    2-5 Dec. 2013
  • Firstpage
    170
  • Lastpage
    175
  • Abstract
    We present our ongoing work building a Raspberry Pi cluster consisting of 300 nodes. The unique characteristics of this single board computer pose several challenges, but also offer a number of interesting opportunities. On the one hand, a single Raspberry Pi can be purchased cheaply and has a low power consumption, which makes it possible to create an affordable and energy-efficient cluster. On the other hand, it lacks in computing power, which makes it difficult to run computationally intensive software on it. Nevertheless, by combining a large number of Raspberries into a cluster, this drawback can be (partially) offset. Here we report on the first important steps of creating our cluster: how to set up and configure the hardware and the system software, and how to monitor and maintain the system. We also discuss potential use cases for our cluster, the two most important being an inexpensive and green test bed for cloud computing research and a robust and mobile data center for operating in adverse environments.
  • Keywords
    cloud computing; energy conservation; microcomputers; software maintenance; system monitoring; Bolzano Raspberry Pi cloud cluster experiment; computing power; energy-efficient cloud computing clusters; low power consumption; mobile data center; single board computer; system maintenanace; system monitoring; system software; use cases; Buildings; Cloud computing; Computers; Economic indicators; Educational institutions; Hardware; Raspberry Pi; cloud computing testbed; cluster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
  • Conference_Location
    Bristol
  • Type

    conf

  • DOI
    10.1109/CloudCom.2013.121
  • Filename
    6735414