Context-sensitive resource discovery

Chen, Guanling; Kotz, David

doi:10.1109/percom.2003.1192747

Cited by 21 publications

(1 citation statement)

References 17 publications

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“…They do not support alternative representations of semantically similar services. In contrast, context-aware service discovery systems [3][4][5][6][7] take advantage of contextual information (i.e. location) syntactically or semantically to provide appropriate services in pervasive computing environments.…”

Section: Introductionmentioning

confidence: 99%

Activity Policy-Based Service Discovery for Pervasive Computing

Kim¹,

Kang²,

Lee³

et al. 2006

Current Trends in Database Technology – EDBT 2006

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Service discovery is an essential technique to provide applications with appropriate resources. However, user mobility and heterogeneous environments make the discovery of appropriate resources difficult. The execution environments will be rapidly changed, so developers cannot predict available resources exactly in design time. Thus, service discovery frameworks for pervasive computing must guarantee transparent development environments to application developers. In this paper, we introduce how to semantically describe and discover a variety of services in different environments. This approach helps applications to find appropriate services even though the required ones are not available or not found. For this, we propose a fine-grained effect ontology which is used to reasonably evaluate functional similarity among different services, and a policy-based query coordination which is used to dynamically apply different resource constraints according to human activities. Finally, we show with a feasible scenario how to find appropriate services in different environments. Our approach helps applications to seamlessly perform their tasks across a dynamic range of environments.

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Section: Introductionmentioning

confidence: 99%

Activity Policy-Based Service Discovery for Pervasive Computing

Kim¹,

Kang²,

Lee³

et al. 2006

Current Trends in Database Technology – EDBT 2006

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The Use of Context Aware Pervasive Systems in the Area of Human Factors and Ergonomics

Mamo

2017

Advances in Intelligent Systems and Computing

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Dynamic Contextual Service Ranking

Bottaro¹,

Hall²

Software Composition

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This paper explores service composition in pervasive environments with a focus on dynamic service selection. Service orientation offers the dynamism and loose coupling needed in pervasive applications. However, contextaware service composition is still a great challenge in pervasive computing. Service selection has to deal with dynamic contextual information to enable context-aware behaviors to emerge from the environment. This paper describes how to add dynamic contextual service ranking mechanisms to the serviceoriented OSGi framework and further discusses service re-composition decisions.

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Context-sensitive resource discovery

Abstract: Abstract

Cited by 21 publications

References 17 publications

Activity Policy-Based Service Discovery for Pervasive Computing

Activity Policy-Based Service Discovery for Pervasive Computing

The Use of Context Aware Pervasive Systems in the Area of Human Factors and Ergonomics

Dynamic Contextual Service Ranking

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