1 resultado para Freezing and processing
em Academic Archive On-line (Mid Sweden University
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- Academic Archive On-line (Karlstad University; Sweden) (1)
- Academic Archive On-line (Mid Sweden University; Sweden) (1)
- Academic Archive On-line (Stockholm University; Sweden) (2)
- Academic Research Repository at Institute of Developing Economies (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (17)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (2)
- Archive of European Integration (5)
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- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (57)
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- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (26)
- University of Michigan (18)
- University of Queensland eSpace - Australia (17)
- University of Washington (1)
Resumo:
With the Internet of Things becoming more and more popular, and a prediction that there will be more than 50 million devices connected to the Internet in 2020, the quantity of IoT platforms on the market is rapidly growing. Facing so many platforms to choose, the object of this thesis is to give some suggestions for reference by performing a quantitative comparison between two platforms: SensibleThings and Kaa. These two platforms have difference architectures so may suitable in different scenes. The comparison includes some measurement and evaluation under two designed scenarios and a general contrast in theory. Two scenarios cover cases of message delivery between two endpoints at different rates and multiple endpoints pushing log data continually. The result of measurement together with the theoretical analysis draw out the following conclusion. SensibleThings platform is more suitable for simple and small-scale message delivery between endpoints, like home environment with few devices. And Kaa platform is more suitable for large-scale and complicated application for data collection and processing, like meteorology field with huge amount of sensors and data.