• DocumentCode
    2243000
  • Title

    MAMMOTH: A massive-scale emulation platform for Internet of Things

  • Author

    Looga, Vilen ; Zhonghong Ou ; Yang Deng ; Yla-Jaaski, Antti

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Aalto Univ., Espoo, Finland
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    1235
  • Lastpage
    1239
  • Abstract
    Internet of Things (IoT) is increasingly used in a plethora of fields to enable radically new ways for various purposes, ranging from monitoring the environment to enhancing the wellbeing of human life. With the ever-increasing size of such networks, it is fundamental to understand the issues that come with scaling on different networking layers. A cost-efficient approach to examine large-scale networks is to use simulators or emulators to test the infrastructure and its ability to support the desired applications. In this paper, we investigate and compare the currently available simulation/emulation software. We found out that the current solutions are mostly appropriate for small- and medium-scale emulation, however they are not suitable for large-scale testing that reaches millions of node running concurrently. We then propose a large-scale IoT emulator called MAMMotH and present a brief overview of its design. Finally we discuss some of the current issues and future directions, e.g. radio link simulation.
  • Keywords
    Internet; Internet of Things; digital simulation; Internet of Things; MAMMOTH; cost-efficient approach; infrastructure testing; large-scale IoT emulator; large-scale networks; large-scale testing; massive-scale emulation platform; medium-scale emulation; networking layers; radio link simulation; simulation-emulation software; Computational modeling; Emulation; Hardware; Radio link; Software; Testing; Wireless sensor networks; internet of things (IoT); large-scale emulation; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664581
  • Filename
    6664581