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Li, Xin, Eckert, Martina ORCID: https://orcid.org/0000-0002-4531-9918, Martínez Ortega, José Fernán
ORCID: https://orcid.org/0000-0002-2642-3904 and Rubio Cifuentes, Greorio
(2015).
Context Aware Middleware Architectures: Survey and Challenges.
"Sensors", v. 2015
(n. 15);
pp. 20570-20607.
ISSN 1424-8220.
https://doi.org/10.3390/s150820570.
Title: | Context Aware Middleware Architectures: Survey and Challenges |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Sensors |
Date: | 20 August 2015 |
ISSN: | 1424-8220 |
Volume: | 2015 |
Subjects: | |
Freetext Keywords: | context; context awareness; context aware middleware; ontology; modelling; reasoning |
Faculty: | Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM) (UPM) |
Department: | Ingeniería Telemática y Electrónica |
UPM's Research Group: | Redes y Servicios de Próxima Generación (GRYS) |
Creative Commons Licenses: | None |
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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.
Item ID: | 39906 |
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DC Identifier: | https://oa.upm.es/39906/ |
OAI Identifier: | oai:oa.upm.es:39906 |
DOI: | 10.3390/s150820570 |
Official URL: | https://www.mdpi.com/1424-8220/15/8/20570 |
Deposited by: | Gregorio Rubio Cifuentes |
Deposited on: | 12 Apr 2016 11:30 |
Last Modified: | 31 Jan 2023 12:06 |