Building ubiquitous QoC-aware applications through model-driven software engineering

Chabridon, Sophie; Conan, Denis; Abid, Zied; Taconet, Chantal

doi:10.1016/j.scico.2012.07.019

Cited by 17 publications

(7 citation statements)

References 22 publications

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“…[ [37] propose interesting solutions for supporting these elements during the design phases. For instance, [24] and [13] propose a MDE (Model Driven Engineering) approach for developing context-aware applications. Both properties corresponding to the observed context elements (for the first) or to the QoC indicators (for the later) are modeled using UML and other high-level model representations at the very beginning of the design process.…”

Section: Literature Review: Challenges and Solutionsmentioning

confidence: 99%

“…Through this language, it is possible to describe different context elements and its data sources, as well as more complex situations combining different context elements. Similarly, [13] [37] have also considered a MDE approach, focusing particularly on the modeling and support of QoC indicators. In [37], the authors have proposed a QoC meta-model in which quality indicators are associated with context information.…”

Section: Literature Review: Challenges and Solutionsmentioning

confidence: 99%

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Le support applicatif à la notion de contexte : revue de la littérature en ingénierie de contexte

Pinheiro¹,

Souveyet²

2018

MUC

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Engineering context-aware applications, i.e. applications that are able to adapt their behavior according to context information, is a complex task. Not only is context a large and complex notion, but its support on software applications involves tackling multiple challenges and issues. These challenges involve not only technical challenges, but also quality concerns. Indeed, with the growing development of context-aware applications, it is becoming essential to start considering the quality of context on every step of the application development. The goal of this paper is to provoke discussion on the issues related to the support of the notion of context and its quality concerns on software applications. We present here a roadmap on context management considering different dimensions of supporting context and quality of context (QoC) on software applications, and a literature review of solutions and issues related to these dimensions. Through these, we aim at sharing with non-expert designers the necessary expertise on context management allowing them to better understand the notion of context and QoC and their challenges. RÉSUMÉ. La conception d'applications sensibles au contexte, i.e. applications capables d'adapter leur comportement au contexte d'exécution, est une tâche complexe. Non seulement la notion de contexte correspond à un concept large et complexe, mais également son support au sein d'un logiciel implique la prise en compte de plusieurs challenges. Ceux-ci ne se limitent pas aux challenges techniques, incluant aussi le support à la qualité de contexte (QoC). Avec le développement croissant de ces applications, il devient essentiel de considérer la notion de qualité à chaque étape de leur développement. L'objectif ici est ainsi d'inciter la discussion et la prise de conscience sur ces différents aspects liés à la gestion de contexte et de ses paramètres de qualité. Nous présentons une roadmap tenant compte des différentes dimensions nécessaires à la gestion de contexte, ainsi qu'une révision de littérature discutant les solutions et les problèmes liés à ces dimensions. A travers ces éléments, nous voulons partager une connaissance nécessaire à la compréhension de la notion de contexte et de QoC, et à la conception d'applications sensibles au contexte par de concepteurs non-experts. KEYWORDS. Context-aware computing, context engineering, Quality of Context. MOTS-CLÉS. Informatique sensible au contexte, ingénierie de contexte, qualité de contexte.

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Section: Literature Review: Challenges and Solutionsmentioning

confidence: 99%

Section: Literature Review: Challenges and Solutionsmentioning

confidence: 99%

Le support applicatif à la notion de contexte : revue de la littérature en ingénierie de contexte

Pinheiro¹,

Souveyet²

2018

MUC

View full text Add to dashboard Cite

show abstract

“…Moreover, MDE can also be used at runtime to maintain a model of the running system. The interest of MDE is demonstrated in several research areas, as for context-aware pervasive systems [18], [19], runtime adaptation [20], or multi-cloud systems management [21]. Concerning the multiscale vision of complex systems, a multiscale UML profile for the deployment of complex systems is proposed in [22].…”

Section: Related Workmentioning

confidence: 99%

MuSCa: A Multiscale Characterization Framework for Complex Distributed Systems

Rottenberg¹,

Leriche²,

Taconet³

et al. 2014

Annals of Computer Science and Information Systems

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Abstract-Nowadays, complex systems are distributed over several levels of Information and Communications Technology (ICT) infrastructures. They may involve very small devices such as sensors and RFID, but also powerful systems such as Cloud computers and knowledge bases, as well as intermediate devices such as smartphones and personal computers. These systems are sometimes referred to as multiscale systems. The word "multiscale" may qualify various distributed systems according to different viewpoints such as their geographic dispersion, the networks they are deployed on, or their users' organizations. For one entity of the multiscale system, communication technologies, non-functional properties (for persistence or security purpose) or architectures to be favored may vary from one scale to another. Moreover, ad hoc architecture of such complex systems are costly and non-sustainable. In this paper, we propose a scaleawareness framework, called MuSCa. This framework includes a characterization process based on the concepts of viewpoints, dimensions and scales. These concepts constitute the core of a dedicated metamodel. The proposed framework allows multiscale software designers to share a taxonomy for qualifying their own system. At system design time, the result of such a qualification is a model from which the framework produces scale-awareness artifacts. As an illustration of this model-driven approach, we show how multiscale probes are generated to provide multiscale components with an embedded scale-awareness ability.

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“…The COSMOS meta-model [5] expresses QoC management contracts. COSMOS is a context manager used for context-aware applications.…”

Section: Framework Study Overviewmentioning

confidence: 99%

“…QoS contracts are based on criteria represented by the class QoSDimension. The meta-model of the OMG offers at the same time the quality contracts just like COSMOS [5] and the separation of concerns between meanings and values used by the CIM [6] metrics. These two aspects cover our objective to provide a computable and expressive solution.…”

Section: Framework Study Overviewmentioning

confidence: 99%

QoCIM: A Meta-model for Quality of Context

Marie¹,

Desprats²,

Chabridon³

et al. 2013

Modeling and Using Context

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In the last decade, several works proposed their own list of quality of context (QoC) criteria. This article relates a comparative study of these successive propositions. The result is that no consensus has been reached about the semantic and the comprehensiveness of QoC criteria. Facing this situation, the QoCIM meta-model offers a generic, computable and expressive solution to handle and to exploit any QoC criterion within distributed context managers and context-aware applications. For validation purposes, QoCIM is successfully applied to the modelling of a set of simple and composite QoC criteria.

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Building ubiquitous QoC-aware applications through model-driven software engineering

Cited by 17 publications

References 22 publications

Le support applicatif à la notion de contexte : revue de la littérature en ingénierie de contexte

Le support applicatif à la notion de contexte : revue de la littérature en ingénierie de contexte

MuSCa: A Multiscale Characterization Framework for Complex Distributed Systems

QoCIM: A Meta-model for Quality of Context

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