TY - GEN
T1 - A demonstration of mobility prediction as a service in cloudified LTE networks
AU - Zhao, Zhongliang
AU - Karimzadeh, Morteza
AU - Braun, Torsten
AU - Pras, Aiko
AU - Van Den Berg, Hans
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/20
Y1 - 2015/11/20
N2 - 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.
AB - 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.
KW - Cloudification
KW - LTE Networks
KW - Mobile Cloud Networking
KW - Mobility Prediction
UR - https://www.scopus.com/pages/publications/84960951464
U2 - 10.1109/CloudNet.2015.7335285
DO - 10.1109/CloudNet.2015.7335285
M3 - 会议稿件
AN - SCOPUS:84960951464
T3 - 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015
SP - 78
EP - 80
BT - 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Cloud Networking, CloudNet 2015
Y2 - 5 October 2015 through 7 October 2015
ER -