An architecture for supporting Development and Execution of Context-Aware Component applications

Behlouli,; Taconet,; Bernard,

doi:10.1109/perser.2006.1652207

Cited by 9 publications

(3 citation statements)

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“…Software Service composition meta-model describes software services as UML 2.0 components, their assembly with collaboration and their behavior as UML2.0 activities. The context meta-model is an implementation of CAMidO meta-model [5], and describes context information, collection and interpretation. The third meta-model is defined as a merge of the two previous metamodels, to describe context-aware Orchestrations of Web Services and their adaptation to relevant context situations.…”

Section: Resultsmentioning

confidence: 99%

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Context Adaptation of Web Service Orchestrations

Seyler¹,

Taconet²,

Guy³

2007

16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2007)

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With orchestrations, one service may be realized through the cooperation of several services. This cooperation has to be formally described. In this paper, we propose to describe service orchestrations according to UML2 metamodel through three UML2 diagrams. Component diagrams describe each service external interfaces. Collaboration diagrams describe the structural composition of services. And activity diagrams describe the orchestration of services.The main contribution of this article is to mix the orchestration and composition meta-model with a context metamodel. Thus, we propose to include the descriptions of context awareness into the orchestration and composition meta-model. This approach allows application designers to describe flexible orchestration of services. Furthermore, describing compositions and their context-awareness with a model (conform to a meta-model) allows middleware with model-transformation capabilities to produce ad-hoc compositions in term of adaptation to current context execution and in term of target execution platforms.We present in this article two kinds of adaptation of context aware orchestrations: deployment time and run time adaptations.

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Section: Resultsmentioning

confidence: 99%

“…The second one models context, but not adaptations. CAMidO is a Context Aware Middleware based on an Ontology metamodel [5] which includes context and adaptations. CAComp context meta-model is a UML mapping of CAMidO ontology meta-model and an extension of this model for orchestrations.…”

Section: Resultsmentioning

confidence: 99%

Context Adaptation of Web Service Orchestrations

Seyler¹,

Taconet²,

Guy³

2007

16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2007)

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“…Models such as SOCAM [16], JCAF [17], and CAMidO [18] are focused on context management, but this lacks the provision of services and proper community administration. Some architectures like UCAM [19] aim to improve deficiencies in the models, integrating social intelligence as a way to manage the multiple user behaviors.…”

Section: Context-aware Computing In An Urban Settingmentioning

confidence: 99%

Urbancontext: A Management Model for Pervasive Environments in User-Oriented Urban Computing

Cañón¹,

Burguillo

2014

csci

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Nowadays, urban computing has gained a lot of interest in regards to guiding the evolution of cities into intelligent environments. These environments can be appropriated for interactions between individuals that may ultimately affect and modify their behavior. These changes require new approaches that allow us to better understand how urban computing systems should be modeled. In this work, we present UrbanContext -a new model for designing urban computing platforms that applies the theory of roles to manage the individual's context in urban environments. The theory of roles helps us understand the individual's behavior within a social environment, allowing us to model urban computing systems capable of adapting to an individual's states and needs.In order to optimize social interaction and offer secure services, UrbanContext collects data in urban atmospheres and classifies behavior according to the individual's change of roles. Likewise, UrbanContext serves as a generic model to provide interoperability as well as facilitate design, implementation, and expansion of urban computing systems. Keywords Urban Computing, Context Modeling, Pervasive Computing, Ubiquitous SpacesComputer Science • 15 (1) 2014 http://dx

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