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
Link To Document :
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