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Benchmarking Internet of Things devices

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dc.contributor.author Kruger, Carel P
dc.contributor.author Hancke, GP
dc.date.accessioned 2015-10-15T07:58:58Z
dc.date.available 2015-10-15T07:58:58Z
dc.date.issued 2014-07
dc.identifier.citation Kruger, C,P and Hancke, G,P. 2014. Benchmarking Internet of Things devices. In: Industrial Informatics (INDIN), 2014 12th IEEE International Conference on, 27-30 July en_US
dc.identifier.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6945583&tag=1
dc.identifier.uri http://hdl.handle.net/10204/8180
dc.description Industrial Informatics (INDIN), 2014 12th IEEE International Conference on, 27-30 July 2014. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website en_US
dc.description.abstract The use of commercial off-the-shelf components for implementing Internet of Things devices has become a common practice amongst researchers and solution providers. IOT solutions, based on the Raspberry Pi, BeagleBone and BeagleBone Black, offer cost effective, versatile and uncomplicated platforms for rapid application development. The devices are treated as black box devices and little work has been done to quantify the performance of these devices when the system architecture, software components or communication channels are varied. This paper introduces micro- and macro-benchmarking methods for these devices; quantifying the performance of each device for the varying hardware architectures. Micro-benchmarking was performed using lmbench - a cross platform benchmarking framework for UNIX devices. The macro-benchmarking was implemented using a custom developed CoAP benchmarking utility created using the libCoAP library. The results showed that the selection of the platform processor is a key design requirement and has the most potential to optimise CoAP server performance. The latency associated with the communication channels was found to be a dominating factor for round-trip times associated with CoAP requests. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Workflow;14650
dc.subject Internet of Things en_US
dc.subject IoT en_US
dc.subject Wireless Sensor Networks en_US
dc.subject Benchmarking en_US
dc.subject Commercial of-the-shelf en_US
dc.title Benchmarking Internet of Things devices en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Kruger, C. P., & Hancke, G. (2014). Benchmarking Internet of Things devices. IEEE. http://hdl.handle.net/10204/8180 en_ZA
dc.identifier.chicagocitation Kruger, Carel P, and GP Hancke. "Benchmarking Internet of Things devices." (2014): http://hdl.handle.net/10204/8180 en_ZA
dc.identifier.vancouvercitation Kruger CP, Hancke G, Benchmarking Internet of Things devices; IEEE; 2014. http://hdl.handle.net/10204/8180 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kruger, Carel P AU - Hancke, GP AB - The use of commercial off-the-shelf components for implementing Internet of Things devices has become a common practice amongst researchers and solution providers. IOT solutions, based on the Raspberry Pi, BeagleBone and BeagleBone Black, offer cost effective, versatile and uncomplicated platforms for rapid application development. The devices are treated as black box devices and little work has been done to quantify the performance of these devices when the system architecture, software components or communication channels are varied. This paper introduces micro- and macro-benchmarking methods for these devices; quantifying the performance of each device for the varying hardware architectures. Micro-benchmarking was performed using lmbench - a cross platform benchmarking framework for UNIX devices. The macro-benchmarking was implemented using a custom developed CoAP benchmarking utility created using the libCoAP library. The results showed that the selection of the platform processor is a key design requirement and has the most potential to optimise CoAP server performance. The latency associated with the communication channels was found to be a dominating factor for round-trip times associated with CoAP requests. DA - 2014-07 DB - ResearchSpace DP - CSIR KW - Internet of Things KW - IoT KW - Wireless Sensor Networks KW - Benchmarking KW - Commercial of-the-shelf LK - https://researchspace.csir.co.za PY - 2014 T1 - Benchmarking Internet of Things devices TI - Benchmarking Internet of Things devices UR - http://hdl.handle.net/10204/8180 ER - en_ZA


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