TY - GEN
T1 - An adaptive scheduling algorithm for scalable peer-to-peer streaming
AU - Han, Longzhe
AU - In, Hoh Peter
PY - 2011
Y1 - 2011
N2 - Because of high scalability and low cost, Peer-to-Peer (P2P) video streaming has been the promising and interesting approach for delivering multimedia content over the Internet. However very different capabilities of end users' systems, unpredictable network bandwidth and the rigorous nature of the video streaming impose design challenges on P2P streaming systems. In this paper, an adaptive scheduling algorithm has been proposed to overcome these limitations. This algorithm is based on H.264 Scalable Video Coding (H.264/SVC) and P2P paradigm to provide scalable video streaming services for heterogeneous users and self-adapt the dynamic network environment.
AB - Because of high scalability and low cost, Peer-to-Peer (P2P) video streaming has been the promising and interesting approach for delivering multimedia content over the Internet. However very different capabilities of end users' systems, unpredictable network bandwidth and the rigorous nature of the video streaming impose design challenges on P2P streaming systems. In this paper, an adaptive scheduling algorithm has been proposed to overcome these limitations. This algorithm is based on H.264 Scalable Video Coding (H.264/SVC) and P2P paradigm to provide scalable video streaming services for heterogeneous users and self-adapt the dynamic network environment.
UR - http://www.scopus.com/inward/record.url?scp=79960951283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960951283&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21375-5_16
DO - 10.1007/978-3-642-21375-5_16
M3 - Conference contribution
AN - SCOPUS:79960951283
SN - 9783642213748
T3 - Studies in Computational Intelligence
SP - 193
EP - 200
BT - Computers,Networks, Systems, and Industrial Engineering 2011
A2 - Lee, Roger
A2 - Byun, Yung-Cheol
A2 - Akingbehin, Kiumi
ER -