Building Context-Rich Mobile Cloud Services For Mobile Cloud Applications

Aleksandar Karadimce
2015 Zenodo  
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
more » ... ations 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.
doi:10.5281/zenodo.33143 fatcat:ah2mckho2zgnncjqz56xjjmvyy