Optimizing the quality of dynamic context subscriptions for scarce network resources

Shawky, Ahmed; Olsen, Rasmus Løvenstein; Pedersen, Jens Myrup; Schwefel, Hans-Peter

doi:10.1145/2222436.2222442

Cited by 1 publication

(3 citation statements)

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“…To evaluate the algorithm's performance a series of simulations were carried out. These simulations are a method of evaluation of the algorithms and a way to compare the algorithm against the context strategy optimization assignment used in [12]. The simulation considers the arrival of N context access requests at the CMN.…”

Section: Discussionmentioning

confidence: 99%

“…The mmPr models of Section III is then used in the simulations and the GmmPr is calculated for each service class and compared to the classless optimization algorithm found in [12]. Table II shows the context information parameters and the constant M/M/1/K parameters used for the two different scenario's.…”

Section: Discussionmentioning

confidence: 99%

“…The Context management framwork formulas are based on work from [12]. For applications to be able to adapt to their environment, the access to dynamic context information [1], which describes the current situation, is required.…”

Section: Context Management Framework and 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: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%