The exponential growth of mobile Internet usages calls for a novel Cloud computing and resource provisioning solution to offload access networks, which need to be geographically distributed and temporally adaptive. In this project, we aim at defining adequate solutions to capture mobility patterns, correlating mobility with usages for a mobile Cloud offloading architecture for telecom networks. This solution requires a reliable estimation of mobility and usages metrics for adaptive Cloud distribution and resource allocation. Indeed, the network efficiency might be very positively affected if selected Cloud servers could be proactively distributed close to identifiable rendezvous points regularly approached by masses of users, or along geolocated consumption flows adaptively determined. Cloud services can largely profit from such a distributed access: by hosting resources out of the user terminal, they enable remote processing and storage of personal data. Mobile equipment has notably limited computing and energy resources, and the presence of close-enough Cloud virtual machines and their adaptive migration along users’ displacements can allow computation offloading, grant important battery energy savings, while guaranteeing connection resiliency.

The ABCD project proposes a dynamic evaluation of the users’ mobility and content consumption that can be then leveraged for a proactive engineering of the Cloud instances close to the identified access points. Specifically, we envision: (i) a distributed behavioral classification method for predicting jointly user macro-mobility and usages with an acceptable accuracy, (ii) a method to estimate the volume of users per access point over time, their behavioral typology and their usage typology (accessed services), (iii) the definition of mobile Cloud networking protocols jointly managing user and machine mobility to transparently migrate virtual machines to the places where users are. These procedures are not currently deployed in access networks, but the current trend and technology context suggests that it is just a matter of time. It is therefore of paramount importance to position our research effort in this direction to contribute to present advances in technologies.

Outcome of the project could enhance the current understanding of access network user mobility, create patents as well as synergies with the EIT KIC ICT-Labs and the FP7 IRSES MobileCloud project.