A Domain-Specific Language for the Specification of Adaptable Context Inference

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Santos, AC (Autor) Outra; Diniz, PC (Autor) Outra; João M. P. Cardoso (Autor) FEUP; Ferreira, DR (Autor) Outra

Ata de Conferência Internacional

Título: IEEE/IFIP 9th International Conference on Embedded and Ubiquitous Computing, EUC 2011, Melbourne, Australia, October 24-26, 2011

Páginas: 268-273

2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, EUC 2011

Melbourne, VIC, 24 October 2011 through 26 October 2011

Indexação

Scopus - 7 Citações

Outras Informações

ID Authenticus: P-008-1YB

DOI: 10.1109/EUC.2011.4

Abstract (EN): Context-aware mobile applications can benefit from context inference adaptation based on run-time operating conditions, such as battery life or sensor availability. Developing applications with such adaptable behavior, however, is notoriously cumbersome, as developers need to deal with low-level system interfacing and programming issues. In this paper we describe a domain-specific language (DSL) and a middleware infrastructure to support the specification, deployment and maintenance of run-time adaptable context inference processes. We illustrate the benefits of our approach via a case study, highlighting the new abstractions that facilitate the specification of adaptable behavior using different algorithms and the corresponding varying parameter settings, with a specific goal of minimizing the energy while maintaing acceptable end-application performance and accuracy. © 2011 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica