Building Context-Rich Mobile Cloud Services For Mobile Cloud Applications

Abstract

Abstract: Today’s mobile applications require more computational by intensive capabilities such as natural language
processing, computer vision and graphics, machine learning etc. These demands cannot be met just by production of more
powerful mobile devices. Therefore, mobile applications will have to become more personalized, context aware, and able to
recognize not only the location of the user, but also their cognitive preferences. To support these demands, the future mobile
computing applications will be built in environments that provide a set of context-rich support services. These applications
will leverage the mobile and cloud computing technology in order to deliver mobile cloud applications or mCloud
applications. Developers will use these context-rich support services as building blocks to realize a large class of basic mobile
cloud services or mCloud services in short. Therefore, the main contribution of this paper is to propose a model of contextrich
mCloud services that can support the development of mobile cloud applications. The proposed model will be verified by
many use cases identifying the most appropriate services to generate custom-made multimedia output. The essence of the
proposed model will consider the different aspects and influencing factors that are part of the Quality of Experience (QoE)
process and metrics.