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Benchmarking Internet of things devices

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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.
Original languageEnglish
Title of host publicationProceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014
PublisherIEEE
Pages611-616
ISBN (Print)9781479949052
DOIs
Publication statusPublished - Jul 2014
Event12th IEEE International Conference on Industrial Informatics, INDIN 2014 - Porto Alegre, Brazil
Duration: 27 Jul 201430 Jul 2014

Conference

Conference12th IEEE International Conference on Industrial Informatics, INDIN 2014
PlaceBrazil
CityPorto Alegre
Period27/07/1430/07/14

Research Keywords

  • Benchmarking
  • CoAP
  • Commercial off-the-shelf
  • Internet of Things
  • Wireless Sensor Networks

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