Adaptive content composition system for Next Generation Networks

TLDR: A new architecture for the e-learning application called ACCS & Adaptive Content Composition System is proposed, capable of composing a knowledge molecule that can parametrically relate to the underlying IP Multimedia Subsystem (IMS), for ensuring a desired QoS.

Abstract: Composing learning material for online education and ensuring quality of delivery (low latency and high bandwidth) is a challenge to researchers in e-learning The problem is compounded when the computing platforms are heterogeneous Besides, e-learning as an application presents a highly fluctuating load to the underlying IP Multimedia Subsystem Viewed in this light, it appears that an e-learning system with inherent abilities to integrate various multimedia elements that can adapt its output to suit network parameters is the need of the hour In this paper, we propose a new architecture for the e-learning application & called ACCS & Adaptive Content Composition System & which is capable of composing a knowledge molecule (composed of different media elements) that can parametrically relate to the underlying IP Multimedia Subsystem (IMS), for ensuring a desired QoS The ACCS architecture has two dominant layers above the IMS; viz, knowledge management sub-layer and network services adaptation sub-layer We study the performance of ACCS with synthetic workloads under controlled conditions using a network test-bed, called GeNIe