Paper Info
Title
A mobile learning system for supporting heterogeneous clients based on P2P live streaming
Abstract
Along with the fusion of mobile communication technology and embedded mobile devices, mobile learning (m-learning) has become an important and novel teaching method. A major challenge in designing such a system is how to simultaneously provide large-scale and robust interactive media for all kinds of clients, including the PCs, IPTVs, smart phones, and tablets. In this paper, we devise a two-tier system architecture based on service overlay network (SON) and tree-based peer-to-peer (P2P) live streaming network. Especially, we present a priority-based P2P application layer multicast (PALM) algorithm, which takes some heterogeneity features of various clients into consideration, such as type, bandwidth capacity and historical online runtime, to construct a stable and effective P2P network for supporting heterogeneous clients with enhanced stable performance. Our simulation and experimental results show that PALM can simultaneously provide scalable and robust live interactive streaming media for large-scale heterogeneous clients and it can gain a good load balancing performance as well.
Year
DOI
Venue
2012
null
ICDSC
Keywords
DocType
Volume
microcomputers,overlay networks,tablets,p2p live streaming network,mobile communication,son,tree-based peer-to-peer live streaming network,trees (mathematics),two-tier system architecture,iptv,heterogeneous clients,m-learning,pc,mobile learning system,bandwidth allocation,bandwidth capacity,enhanced stable performance,mobile communication technology,palm algorithm,teaching method,resource allocation,heterogeneity features,service overlay network,priority-based p2p application layer multicast algorithm,smart phones,robust interactive media,embedded mobile devices,peer-to-peer computing,interactive systems,embedded systems,large-scale interactive media,tree-based p2p,large-scale heterogeneous clients,mobile computing,historical online runtime,computer aided instruction
Conference
null
Issue
ISBN
Citations 
null
978-1-4503-1772-6
4
PageRank 
References 
Authors
0.41
14
3
Name
Order
Citations
PageRank
Qinghua Zheng11261160.88
Hui Zhao2293.98
Weizhan Zhang310118.64