Asmae Benali

Asmae Benali, Bouchra El Asri

Cloud computing has recently emerged as a major trend in distributed computing. We proposed a platform for selecting and configuring automatically an appropriate cloud environment that meets a set of consumer and provider requirements. It can easily adapt its behavior, either at design-time or runtime, to the change of the environment in matters of location, time, activity, interaction abilities, and communication restrictions. The platform based on the principles of dynamic software product lines (SPL), Agent-oriented software engineering, and the MAPE-k reference model. We based on the Design Science Research Methodology to conduct this work. In this article, we present the steps of our research following this methodology's guidelines.

Asmae Benali, Bouchra El Asri, Houda Kriouile

Because of the growing interest for mobile device and pervasive applications deployed on cloud computing, the providing of intelligent and ubiquitous context-aware applications that take into account the user's context is one of the main challenges in future applications. In this article we consider how to augment applications aware context used by mobiles device and deployed on cloud computing. The behavior of these applications should depend not only on their internal state and user interactions but also on the context sensed during their execution. Indeed, our approach based on two essential mechanisms, context sensoring and context reasoning. We consider the information acquired by the context sensoring as a product line and we use feature models to represent this information received, the services provided by cloud provider, the available resources and constraints. At the context reasoning step, the context provisioning feature model (CSCAFM) algorithm permits to generate service context-aware that fulfils the requirements of use ensures a certain level of performance of resources.

Asmae Benali, Bouchra El Asri

Day after day, the number of mobile applications deployed on cloud computing continues in increasing because o f smartphone capabilities improvement. Cloud computing has already succeeded in the web based application, for that reason, the demand for context aware services provided by cloud computing increases. To customize a cloud service that takes into account th e consumer requirements, which depend on information change, it brings to light many recent challenges to cloud computing about environment aware, location aware, time aware. The cloud provider, moreover, has to manage personalized applications and the con straints of mobile devices in matters of interaction abilities and communication restrictions. This paper proposes a strategy for selecting automatically an appropriate cloud environment that runs out whole requirements, defines a configuration for the ass ociated cloud environment and able to easily adapt to the change of the environment on either the user or the cloud side or both. This process builds on the principles of dynamic software product lines, Agent oriented software engineering, and the MAPE k m odel to select and configure cloud environments according to the consumer needs and the context change.