Service Degradation in Context Management Frameworks

Shawky, Ahmed; Olsen, Rasmus Løvenstein; Pedersen, Jens Myrup; Rasmussen, Jakob Gulddahl

doi:10.1109/icccn.2011.6006060

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…In our earlier work, we introduced the notion mismatch probability (mmPr), [10], as the probability that at the time instant of using a certain information for processing in the contextsensitive application, this information does not match the value at the (physical) source. While the reliability of context information has previous been acknowledged and considered an important part of the quality of context, [3] or [4], this current Table I shows the different access strategies mmPr formulas, based on work from [10] and [11].…”

Section: A Backgroundmentioning

confidence: 99%

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Class-Based Context Quality Optimization for Context Management Frameworks

Shawky

Olsen

Pedersen

et al. 2012

2012 21st International Conference on Computer Communications and Networks (ICCCN)

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Context-awareness is a key requirement in many of today's networks, services and applications. Context Management systems are in this respect used to provide access to distributed, dynamic context information. The reliability of remotely accessed dynamic context information is challenged by network delay, packet drop probability, information dynamics and the access strategies taken. QoS classification and system configuration of context management traffic is in this aspect important in order to efficiently balance generated access traffic between network delay, packet loss probability, information dynamics and reliability requirements to the information from the applications. In this paper we develop a QoS Control network concept for context management systems. The concept includes a soft realtime algorithm for model based context access configuration and QoS class assignment, and allows to put probabilistic bounds on the information reliability (the so-called mismatch probability).

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Section: A Backgroundmentioning

confidence: 99%

“…We use the notion mismatch probability (mmPr) [10] as the reliability parameter for accessed dynamic context information. [11] states that high mmPr is a cause of service degradation in context management framworks.…”

Section: Introductionmentioning

confidence: 99%

Class-Based Context Quality Optimization for Context Management Frameworks

Shawky

Olsen

Pedersen

et al. 2012

2012 21st International Conference on Computer Communications and Networks (ICCCN)

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Network aware dynamic context subscription management

Shawky¹,

Olsen²,

Pedersen³

et al. 2014

Computer Networks

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Context-awareness is a key requirement in many of today's networks, services and applications. Context management systems are used to provide access to distributed, dynamic context information. The reliability of remotely accessed dynamic context information is impacted by network delay, packet drop probability, its information dynamics and the access strategy used. Due to the characteristics of the different access strategies, different levels of reliability of context information can be ensured, but at the same time, these strategies lead to different access traffic which impacts also the network performance, and hence feeds back to the reliability of the information. Furthermore, different levels of QoS may be available and used in order to mitigate the impact of network performance degradation on the reliability of the dynamic context information. In this paper we describe a system and algorithms that are capable of configuring effectively context access strategies in order to maximize reliability of all accessed dynamic context information. The framework utilizes and extends existing information reliability models, and it can utilize different network performance models. Simulation results of scenarios in which the framework uses finite-buffer bottleneck performance models demonstrate the effectiveness of our algorithm to increase reliability. Furthermore, the framework is applied to a scenario with QoS classes that allows to trade off delay and loss via different buffer-size configurations.

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Service Degradation in Context Management Frameworks

Cited by 2 publications

References 8 publications

Class-Based Context Quality Optimization for Context Management Frameworks

Class-Based Context Quality Optimization for Context Management Frameworks

Network aware dynamic context subscription management

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