Scalable Processing of Context Information with COSMOS

Conan, Denis; Rouvoy, Romain; Seinturier, Lionel

doi:10.1007/978-3-540-72883-2_16

Cited by 64 publications

(44 citation statements)

References 14 publications

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“…We have conducted series of experiments on the campus of our institute using a prototype we developed based on the COSMOS process-oriented context manager [4] which supports QoC processing [1]. This experimentation implies two phases.…”

Section: Evaluation Resultsmentioning

confidence: 99%

Towards QoC-Aware Location-Based Services

Chabridon

Ngo

Abid

et al. 2011

Lecture Notes in Computer Science

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Abstract. As location-based services on mobile devices are entering more and more everyday life, we are concerned in this paper with finding ways to master the level of quality of location information in order to take relevant decisions. Location being a typical example of context information, we manipulate it using the COSMOS framework that we develop for the management of context data and their associated quality meta-data or quality of context (QoC). We consider several QoC parameters that are important for location and determine how the QoC can help a location aggregator component to identify the current region where a user is located. The mechanisms we propose support a pragmatic approach in which application designers or deployers survey an area to demarcate regions surrounding locations, and application users are localized into these regions and are presented with the quality of the estimate. We report on the experimentation we performed on the campus of our institute collecting information from Wi-Fi, 3G networks and GPS signals, and show the accuracy we obtain at no additional infrastructure cost.

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Section: Evaluation Resultsmentioning

confidence: 99%

Towards QoC-Aware Location-Based Services

Chabridon

Ngo

Abid

et al. 2011

Lecture Notes in Computer Science

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“…Use of object abstractions simpli es the deployment of context handling code. Context entities composition and Sharing (COSMOS), each context is exemplar as an object comprehending several built-in mechanisms to ensure push-and pull-based change noti cations [27]. ReconFigurable Context-Sensitive Middleware (RCSM) uses an Interface De nition Language (IDL); by using it the developer can specify context/situations relevant to the application, the actions to trigger and the timings of these actions [28].…”

Section: Context Management Entitymentioning

confidence: 99%

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

Borges

2016

Open Computer Science

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Internet-of-Things (IoT) is the latest buzzword, havings its origins in the erstwhile Sensor Networks. Sensor Networks produce a large amount of data. According to the needs this data requires to be processed, delivered and accessed. This processed data when made available with the physical device location, user preferences, time constraints; generically called as context-awareness; is widely referred to as the core function for ubiquitous systems. To our best knowledge there is lack of analysis of context information fusion for ubiquitous sensor networks. Adopting appropriate information fusion techniques can help in screening noisy measurements, control data in the network and take necessary inferences that can help in contextual computing. In this paper we try and explore di erent context information fusion techniques by comparing a large number of solutions, their methods, architectures and models. All the surveyed techniques can be adapted to the IoT framework.

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“…Concepts and properties of a context node The basic structuring concept of COSMOS is the context node [4] which is a context information modelled by a software component. Context nodes are organised into hierarchies to form context management policies.…”

Section: Presentation Of Cosmosmentioning

confidence: 99%

“…This paper proposes to integrate Quality of Context in COSMOS 1 (COntext entitieS coMpositiOn and Sharing), which is our framework for managing context data in ubiquitous environments [4,13]. The COSMOS framework relies on the Fractal 2 component-based middleware [2].…”

Section: Introductionmentioning

confidence: 99%

“…Information on the quality of context helps taking appropriate decisions and allows to identify uncertain context information saving processing time for deriving a pertinent description of the observed phenomenon. This paper presents a work in progress for integrating Quality of Context in COSMOS (COntext entitieS coMpositiOn and Sharing) [4,13], a component-based framework for managing context data in ubiquitous environments, and illustrates it throughout the example of the composition of context information to implement a network connectivity vs energy adaptation situation. …”

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A Framework for Quality of Context Management

Abid

Chabridon

Conan

2009

Lecture Notes in Computer Science

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Abstract. Context-aware computing has to deal with a huge amount of context data. Taking into account the quality of these data becomes a corner stone of an efficient context management solution. Information on the quality of context helps taking appropriate decisions and allows to identify uncertain context information saving processing time for deriving a pertinent description of the observed phenomenon. This paper presents a work in progress for integrating Quality of Context in COSMOS (COntext entitieS coMpositiOn and Sharing) [4,13], a component-based framework for managing context data in ubiquitous environments, and illustrates it throughout the example of the composition of context information to implement a network connectivity vs energy adaptation situation.

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Scalable Processing of Context Information with COSMOS

Cited by 64 publications

References 14 publications

Towards QoC-Aware Location-Based Services

Towards QoC-Aware Location-Based Services

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

A Framework for Quality of Context Management

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