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.
Expertise-Based Developer Assignment for Long-Term Software Components in Open-Source Projects
Zayed University（扎耶德大学）；University of Adelaide（阿德莱德大学）；National University of Computer and Emerging Sciences（国家计算机与新兴科学大学）；Heriot-Watt University（赫瑞-瓦特大学）
Sensor Management System (SMS): Open-source software for FAIR sensor metadata management in Earth system sciences
Karlsruhe Institute of Technology (KIT)（卡尔斯鲁厄理工学院）；GFZ Helmholtz Centre for Geosciences（德国地球科学研究中心）；Helmholtz Centre for Environmental Research (UFZ)（亥姆霍兹环境研究中心）；German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig（德国综合生物多样性研究哈雷-耶拿-莱比锡中心）；Forschungszentrum Jülich (FZJ)（于利希研究中心）
