Towards Merging Context-Aware, Mobile and Grid Computing

Yamin, Adenauer; Barbosa, Jorge Luís Victória; Augustin, Iara; Silva, Luciano Cavalheiro da; Real, Rodrigo; Geyer, Cláudio F. R.; Cavalheiro, Gerson Geraldo H.

doi:10.1177/1094342003017002008

Cited by 26 publications

(13 citation statements)

References 10 publications

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“…In order to coordinate the actions a model is used based on blackboard architecture. In further works [166] [167] they propose to apply a programming model specifically designed for the specification of context-aware applications, based on holoparadigm. It is intended to simplify the mobility management and the implementation of C-AS.…”

Section: Emerging Programming Paradigmsmentioning

confidence: 99%

Engineering context-aware systems and applications: A survey

Alegre

Augusto

Clark

2016

Journal of Systems and Software

184

137

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Context-awareness is an essential component of systems developed in areas like Intelligent Environments, Pervasive & Ubiquitous Computing and Ambient Intelligence. In these emerging fields, there is a need for computerized systems to have a higher understanding of the situations in which to provide services or functionalities, to adapt accordingly. The literature shows that researchers modify existing engineering methods in order to better fit the needs of context-aware computing. These efforts are typically disconnected from each other and generally focus on solving specific development issues. We encourage the creation of a more holistic and unified engineering process that is tailored for the demands of these systems. For this purpose, we study the state-of-the-art in the development of context-aware systems, focusing on: A) Methodologies for developing context-aware systems, analysing the reasons behind their lack of adoption and features that the community wish they can use; B) Context-aware system engineering challenges and techniques applied during the most common development stages; C) Context-aware systems conceptualization.

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Section: Emerging Programming Paradigmsmentioning

confidence: 99%

Engineering context-aware systems and applications: A survey

Alegre

Augusto

Clark

2016

Journal of Systems and Software

184

137

View full text Add to dashboard Cite

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“…The ContextProvider component abstracts the access to the context middleware. Figure 8 shows three possibilities of middleware which could be accessed by the application: LOCAL (Barbosa et al, 2011), EXEHDA (Yamin et al, 2003) and ContextToolkit (Salber et al, 1999). The KnowledgeBase component abstracts the access to the Profile Repository service and to the Lexical Knowledge Base service.…”

Section: Applications Developed Using Mapsmentioning

confidence: 99%

MaPS: A framework to aid the development of collaborative applications for ubiquitous environments

Martins

Nino

Barbosa

et al. 2016

Journal of Applied Computing Research

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Abstract.A research topic of growing interest is the convergence between Collaborative Systems and Ubiquitous Computing, where context awareness is becoming a tool for enhancing collaboration processes. The application of Ubiquitous Computing concepts in the improvement of collaboration strategies created a research front called Ubiquitous Collaboration. This article proposes a framework to aid the development of collaborative applications for ubiquitous environments, called MaPS. MaPS works at one relevant stage of the collaboration. It uses context information and user profiles to improve the search for peers and the selection of communication channels. The article proposes the framework, its requirements and its architecture. Moreover, we describe a prototype and two applications which were developed with it. The framework was evaluated considering software development, based on the experience got in the implementation of the applications and aspects of functionalities. It was made through a scenario involving active participants. The results of both evaluations show the potential for using MaPS.

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“…Examples of context-aware grid adaptation such as [6,15,16] apply location, time, or data on scheduled jobs, but neglect the interdependencies arising from joint activities. Scientific workflows for grids [3,8] model dependencies to some extent but cannot be applied in situations that demand for ad-hoc changes.…”

Section: Related Workmentioning

confidence: 99%