A Context Provisioning Framework to Support Pervasive and Ubiquitous Applications

Knappmeyer, Michael; Baker, Nigel; Liaquat, Saad; Tönjes, Ralf

doi:10.1007/978-3-642-04471-7_8

Cited by 22 publications

(17 citation statements)

References 8 publications

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“…Context-aware Resource Management Environment (CAR-MEN) exploits XML-based pro les to describe both computing and user context information [24]. Context Casting (C-CAST) uses context provisioning aspects and de nes an XML-based Context Meta Language (ContextML) to distribute context data into the system [25]. Context Sharing In unreliable Environments (COSINE) builds a modular context sharing in which contexts are represented by XML and can be queried by using XPath queries [26].…”

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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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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“…The Context Provisioning Middleware with Support for Evolving Awareness (C-ProMiSE) [28,29] has been designed to provide coherent access to manifold context information and to transparently support various application domains. Due to the gradual extendibility and self-management capabilities, it supports device, sensor, network, and application heterogeneity.…”

Section: Evaluation Of the C-promise Middlewarementioning

confidence: 99%

“…Multiple context requests may arrive at the CxP simultaneously. In addition to that, CxSs transmit context updates and CxPs register at the CxB with regular advertisement messages (see [28] for details). All these requests have to be processed at the same time.…”

Section: Context Providermentioning

confidence: 99%

Performance simulation of a context provisioning middleware based on empirical measurements

Reetz¹,

Knappmeyer²,

Kiani³

et al. 2013

Simulation Modelling Practice and Theory

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“…Broker-based architecture [21][22] [23] is popular in distributed context-aware systems. In the sense of a context provisioning system situated between context providers and contextaware services, COPAL is also a broker.…”

Section: Related Workmentioning

confidence: 99%

“…In the sense of a context provisioning system situated between context providers and contextaware services, COPAL is also a broker. Knappmeyer et al [23] proposed a broker-based context provisioning system that supports context presentation, publish/subscribe and data acquisition from devices. The configuration and management of context is supported by Context Meta Language (ContextML).…”

Section: Related Workmentioning

confidence: 99%

COPAL: An adaptive approach to context provisioning

Sehic

Dustdar

2010

2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications

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A Context Provisioning Framework to Support Pervasive and Ubiquitous Applications

Cited by 22 publications

References 8 publications

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

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

Performance simulation of a context provisioning middleware based on empirical measurements

COPAL: An adaptive approach to context provisioning

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