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Quantitative Comparison of SensibleThings and Dweet.io
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The objective of this paper is to perform a quantitative comparison of Dweet.io and SensibleThings from different aspects. With the fast development of internet of things, the platforms for internet-of-things face bigger challenges. This paper will evaluate both systems in four parts. The first part shows the general comparison of input ways and output functions provided by the platforms. The second part shows the security comparison, which focuses on the protocol types of the packets and the stability during the communication. The third part shows the scalability comparison when the value becomes bigger. The fourth part shows the scalability comparison when speeding up the processes. After the comparisons, I concluded that Dweet.io is more easy to use on devices and supports more programming languages. Dweet.io realizes visualization and it can be shared. Dweet.io is safer and more stable than SensibleThings. SensibleThings provides more openness. SensibleThings has better scalability in handling big values and quick speed.

Place, publisher, year, edition, pages
2016. , 49 p.
Keyword [en]
Dweet.io, SensibleThings, internet-of-things
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:miun:diva-28111Local ID: DT-V16-G3-019OAI: oai:DiVA.org:miun-28111DiVA: diva2:943491
Subject / course
Computer Engineering DT1
Supervisors
Examiners
Available from: 2016-06-28 Created: 2016-06-28 Last updated: 2016-06-28Bibliographically approved

Open Access in DiVA

fulltext(1510 kB)63 downloads
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Zhao, Yun
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf