An extended IMS framework with a high-performance and scalable distributed storage and computing system

Abstract

The mobile network operators (MNOs) that are deploying the IP Multimedia Subsystem (IMS) experience rapid growth of mobile contents and mobile subscribers' requests. Consequently, system performance could be affected and the management of different types of content resources gets expensive and gradually harder. In fact, with the emergence of the big data technology, MNOs must think of making the most of it to introduce new big data based value-added services and ameliorate the IMS system performance and management. In this paper, we propose an extended architectural framework of the 4G LTE system by merging the IMS platform and Hadoop modules for the purposes of both the distributed storage of IMS service resources and the computing service that is suggested in this study for meeting future mobile consumers' needs in mobile computing terms. During experiments, we evaluate the quality of both the system and service. As a result, the propounded architectural framework improves server utilization and quality of service slightly varies.