On Sustaining Dynamic Adaptation of Context-Aware Services
Journal Title: EAI Endorsed Transactions on Context-aware Systems and Applications - Year 2015, Vol 2, Issue 3
Abstract
The modern human is getting more and more mobile having access to online services by using mobile cutting-edge computational devices. In the last decade, the field of context-aware services had led to emerge several works. However, most of the proposed approaches have not provided clear adaptation strategies in case of unforeseen contexts. Dealing with this last at runtime is also another crucial need that has been ignored in their proposals. This paper aims to propose a generic dynamic adaptation process as a phase in a model-driven development life-cycle for context-aware services using the MAPE-K control loop to meet the runtime adaptation. This process is validated by implementing an illustrative application on FraSCAti platform. The main benefit of the proposed process is to sustain the self-reconfiguration of such services at model and code levels by enabling successive dynamic adaptations depending on the changing context.
Authors and Affiliations
Boudjemaa Boudaa, Slimane Hammoudi, Abdelkader Bouguessa, Leila Amel Mebarki, Mohammed Amine Chikh
Keywords
Related Articles
- EP ID EP45750
- DOI http://dx.doi.org/10.4108/casa.2.3.e4
- Views 388
- Downloads 0
Towards an Efficient Implementation of Human Activity Recognition for Mobile Devices
The availability of diverse and powerful sensors embedded in modern Smartphones/mobile devices has created exciting opportunities for developing context-aware applications. Although there is good capacity for collecting...
A Variable Neighborhood Search Algorithm for Solving the Steiner Minimal Tree Problem in Sparse Graphs
Steiner Minimal Tree (SMT) is a complex optimization problem that has many important applications in science and technology; This is a NP-hard problem. Much research has been carried out to solve the SMT problem using ap...
Context-aware hand poses classifying on images and video-sequences using a combination of wavelet transforms, PCA and neural networks
In this paper we propose novel context-aware algorithms for hand poses classifying on images and video-sequences. The proposed hand poses classifying on images algorithm based on Viola-Jones method, wavelet transform, PC...
Chronological states of viewer’s intentions using hidden Markov models and features of eye movement
To determine the possibility of predicting viewer’s internal states using the hidden Markov model, several features of eye movements were introduced to the model. Performance was measured using the data from a set of eye...
Document Level Sentiment Analysis: A survey
Sentiment analysis becomes a very active research area in the text mining field. It aims to extract people's opinions, sentiments, and subjectivity from the texts. Sentiment analysis can be performed at three levels: at...