Location prediction has attracted a significant amount of research effort. Being able to predict users’ movement benefits a wide range of communication systems, including location-based service/applications, mobile access control, mobile QoS provision, and resource management for mobile computation and storage management. In this demo, we present MOBaaS, which is a cloudified Mobility and Bandwidth prediction services that can be instantiated, deployed, and disposed on-demand. Mobility prediction of MOBaaS provides location predictions of a single/group user equipments (UEs) in a future moment. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operations. We demonstrate an example of real-time mobility prediction service deployment running on OpenStack platform, and the potential benefits it bring to other invoking services.
|Title of host publication||Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015|
|Place of Publication||Danvers, MA, USA|
|Number of pages||3|
|Publication status||Published - 5 Oct 2015|
Zhao, Z., Karimzadeh Motallebi Azar, M., Braun, T., Pras, A., & van den Berg, H. L. (2015). A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks. In Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015 (pp. 78-80). Danvers, MA, USA: IEEE. https://doi.org/10.1109/CloudNet.2015.7335285