Compreendendo o Desempenho de Gerenciadores de Contexto para Internet das Coisas

  • Ivan Zyrianoff
  • Fabrizio Borelli
  • Alexandre Heideker
  • Gabriela Biondi
  • Carlos Kamienski

Resumo


Context-Aware Management Systems have been proposed in the last years to perform automatic decision making for the Internet of Things. Although scalability is an indispensable feature for those systems, there are no comprehensive results reporting their performance. This paper shows results of a performance analysis study of different context-aware architectures and introduces the SenSE platform for generating sensor synthetic data. Results show that different architectural choices impact system scalability and that automatic real time decision-making is feasible in an environment composed of dozens of thousands of sensors that continuously transmit data.

Publicado
06/07/2017
ZYRIANOFF, Ivan; BORELLI, Fabrizio; HEIDEKER, Alexandre; BIONDI, Gabriela; KAMIENSKI, Carlos. Compreendendo o Desempenho de Gerenciadores de Contexto para Internet das Coisas. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 9. , 2017, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . ISSN 2595-6183. DOI: https://doi.org/10.5753/sbcup.2017.3311.