Context Aware Middleware Architectures: Survey and Challenges

Li, Xin; Eckert, Martina; Martínez Ortega, José Fernán y Rubio Cifuentes, Greorio (2015). Context Aware Middleware Architectures: Survey and Challenges. "Sensors", v. 2015 (n. 15); pp. 20570-20607. ISSN 1424-8220.

Descripción

Título: Context Aware Middleware Architectures: Survey and Challenges
Autor/es:
  • Li, Xin
  • Eckert, Martina
  • Martínez Ortega, José Fernán
  • Rubio Cifuentes, Greorio
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: 20 Agosto 2015
Volumen: 2015
Materias:
Palabras Clave Informales: context; context awareness; context aware middleware; ontology; modelling; reasoning
Escuela: Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM) (UPM)
Departamento: Ingeniería Telemática y Electrónica
Grupo Investigación UPM: Redes y Servicios de Próxima Generación (GRYS)
Licencias Creative Commons: Ninguna

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URL Oficial: http://www.mdpi.com/journal/sensors

Resumen

Abstract: Context aware applications, which can adapt their behaviors to changing environments, are attracting more and more attention. To simplify the complexity of developing applications, context aware middleware, which introduces context awareness into the traditional middleware, is highlighted to provide a homogeneous interface involving generic context management solutions. This paper provides a survey of state-of-the-art context aware middleware architectures proposed during the period from 2009 through 2015. First, a preliminary background, such as the principles of context, context awareness, context modelling, and context reasoning, is provided for a comprehensive understanding of context aware middleware. On this basis, an overview of eleven carefully selected middleware architectures is presented and their main features explained. Then, thorough comparisons and analysis of the presented middleware architectures are performed based on technical parameters including architectural style, context abstraction, context reasoning, scalability, fault tolerance, interoperability, service discovery, storage, security & privacy, context awareness level, and cloud-based big data analytics. The analysis shows that there is actually no context aware middleware architecture that complies with all requirements. Finally, challenges are pointed out as open issues for future work.

Más información

ID de Registro: 39906
Identificador DC: http://oa.upm.es/39906/
Identificador OAI: oai:oa.upm.es:39906
Depositado por: Gregorio Rubio Cifuentes
Depositado el: 12 Abr 2016 11:30
Ultima Modificación: 12 Abr 2016 13:53
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