Study of a Context Quality Model for UbiPri Middleware
Abstract
With the growth of ubiquitous computing, context-aware computing-based applications are increasingly emerging, and these applications demonstrate the impact that context has on the adaptation process. From the context, it will be possible to adapt the application according to the requirements and needs of its users. Therefore, the quality of the context information must be guaranteed so that the application does not have an incorrect or unexpected adaptation process. But like any given data, there is the possibility of inaccuracy and/or uncertainty and so Quality of Context (QoC) plays a key role in ensuring the quality of context information and optimizing the adaptation process. To guarantee the Quality of Context it is necessary to study a quality model to be created, which will have the important function of evaluating the context information. Thus, it is necessary to ensure that the parameters and quality indicators to be used and evaluated are the most appropriate for a given type of application. This paper aims to study a context quality model for the UbiPri middleware, defining its quality indicators to ensure its proper functioning in the process of adaptation in granting access to ubiquitous environments.
Keywords: QoC, Model, Context-Aware, Data, Privacy
References
[1] Loureiro, A.; Oliveira, R.; Silva, T.; Júnior, W.; Oliveira, L.; Moreira, R.; Siqueira, R.; Rocha, B.; Ruiz, L.: “Computação Ubíqua Ciente de Contexto: Desafios e Tendências” 27° Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuído, Recife, Brasil, Mai 2009.
[2] Dey, A.: “Providing Architectural Support for Building Context-Aware Applications”, Georgia Institute of Technology, 2000.
[3] Filho, J.; Miron, A.; Satoh, I.; Gensel, J.; Martin, H.: “Modeling and Measuring Quality of Context Information in Pervasive Environments” 24th IEEE International Conference on Advanced Information Networking and Applications, Perth, Austrália, Abr 2010, p. 690-697.
[4] Buchholz, T.; Schiffers, M. Quality of Context: What It Is And Why We Need It. Proceedings of the 10th Workshop of the OpenView University Association: OVUA’03, 2003, p. 1-14.
[5] Mcnaull, J.; Augusto, J.; Mulvenna, M.; Mccullagh, P.: “Data and Information Quality Issues in Ambient Assisted Living Systems” ACM Journal of Data and Information Quality, Vol. 4 nº 1 (2012), p. 1-15.
[6] Zdravevski, E.; Lameski, P.; Trajkovik, V.; Kulakov, A.; Chorbev, I.; Goleva, R.; Pombo, N.; Garcia, N. Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering. IEEE Access 5 (2017), p. 5262–5280.
[7] Leithardt, V. UbiPri: middleware para controle e gerenciamento de privacidade em ambientes ubíquos. Dissertação Ph.D. Universidade Federal do Rio Grande do Sul, Instituto de Informática, 2015. https://hdl.handle.net/10183/147774 (22/08/2019).
[8] Leithardt, V.; Borges, G.; Rossetto, A.; Rolim, C.; Geyer, C.; Correia, L.; Nunes, D.; Sá Silva, J.: “A Privacy Taxonomy for the Management of Ubiquitous Environments” Journal of Communication and Computer 10, 2013, p. 1529–1553.
[9] Manzoor, A.; Truong, H.; Dustdar, S.: ”Using Quality of Context to Resolve Conflicts in Context-Aware Systems”, QuaCon 2009, Springer, 2009.
[10] Manzoor, A.; Truong, H.; Dustdar, S.: “On the Evaluation of Quality of Context”. 3