The Rhadamanthys Quality of Context Architecture

  • Hélio Carlos Brauner Filho UFRGS
  • Claudio Fernando Resin Geyer UFRGS

Resumo


With the rising number of Internet of Things devices and context providers, the need for sorting and selecting them according to user requirements and to the quality of sensed information becomes prevalent. Thus, this paper presents the Rhadamanthys architecture, designed to fulfill this requirement using Quality of Context information for both ranking and selection. Individual Quality of Context criteria as defined in the literature are evaluated for each available provider and used in formulae to obtain a single score that enables ranking and allows selection.

Referências

Buchholz, T., Küpper, A., and Schiffers, M. (2003). Quality of context information: What it is and why we need it. In Proceedings of the 10th HP OVUA Workshop, 2003.

IHS Markit (2016). Complimentary Whitepaper: IoT Platforms - Enabling the Internet of Things. [link]. [Online; accessed 19-March-2017], qtd. in [link].

Kim, Y. and Lee, K. (2006). A quality measurement method of context information in ubiquitous environments. In Hybrid Information Technology, 2006. ICHIT’06. International Conference on, volume 2, pages 576–581. IEEE.

Manzoor, A., Truong, H.-L., and Dustdar, S. (2008). On the evaluation of quality of context. In European Conference on Smart Sensing and Context, pages 140–153. Springer.

Nazário, D. C., Dantas, M. A. R., and Todesco, J. L. (2014). Context management: toward assessing quality of context parameters in a ubiquitous ambient assisted living environment. JISTEM-Journal of Information Systems and Technology Management, 11(3):569–590.

Nazário, D. C. et al. (2015). Cuida: um modelo de conhecimento de qualidade de contexto aplicado aos ambientes ubíquos internos em domicílios assistidos.

Neisse, R. (2012). Trust and privacy management support for context-aware service platforms. Number 11-216. University of Twente, Centre for Telematics and Information Technology (CTIT).

Neisse, R., Wegdam, M., and Van Sinderen, M. (2008). Trustworthiness and quality of context information. In Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for, pages 1925–1931. IEEE.

Perera, C., Zaslavsky, A., Christen, P., Compton, M., and Georgakopoulos, D. (2013). Context-aware sensor search, selection and ranking model for internet of things middleware. In Mobile Data Management (MDM), 2013 IEEE 14th International Conference on, volume 1, pages 314–322. IEEE.

Perera, C., Zaslavsky, A., Christen, P., and Georgakopoulos, D. (2012). Ca4iot: Context awareness for internet of things. In Green Computing and Communications (Green-Com), 2012 IEEE International Conference on, pages 775–782. IEEE.

Sheikh, K., Wegdam, M., and van Sinderen, M. (2008). Quality-of-context and its use for protecting privacy in context aware systems. JSW, 3(3):83–93.

Vim, I. (2004). International vocabulary of basic and general terms in metrology (vim). International Organization, 2004:09–14.

Yasar, A.-U.-H., Paridel, K., Preuveneers, D., and Berbers, Y. (2011). When efficiency matters: Towards quality of context-aware peers for adaptive communication in vanets. In Intelligent Vehicles Symposium (IV), 2011 IEEE, pages 1006–1012. IEEE.
Publicado
02/07/2017
BRAUNER FILHO, Hélio Carlos; GEYER, Claudio Fernando Resin. The Rhadamanthys Quality of Context Architecture. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 9. , 2017, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . p. 938-947. ISSN 2595-6183. DOI: https://doi.org/10.5753/sbcup.2017.3317.