TY - GEN
T1 - HySAC
AU - Kulatunga, Chamil
AU - Kandavanam, Gajaruban
AU - Rana, Annie Ibrahim
AU - Balasubramaniam, Sasitharan
AU - Botvich, Dimitri
PY - 2011
Y1 - 2011
N2 - The emergence of new platforms providing Internet protocol television (IPTV) services, such as Google TV [1] and Apple TV [2] is expected to revolutionize the way multimedia services are provided on the Internet. However, the existing network infrastructure falls well short of meeting the resource requirements to provide satisfactory levels of such services. This has led the service providers like Google to contemplate deploying large farms of network cables to transport the traffic generated by their IPTV services. However, the huge cost involved in achieving their target, means careful resource planning and meeting users' expectations are essential. In this paper, we propose an effective adaptive HYbrid delivery System Adaptive Content management (HySAC), which dynamically selects the mode of video delivery from unicast, multicast and peer-to-peer (P2P) based on the popularity of the respective videos. The videos are dynamically classified into high, medium and low popularity groups and, they are delivered using multicast, P2P and unicast methods respectively. HySAC reduces the start-up delay as the mode of delivery is well defined and the resource availability to support the delivery is guaranteed. We have evaluated the performance of HySAC on a realistic simulated environment and presented experimental results; they indicate that HySAC performs significantly better than pure unicast, multicast and P2P mechanisms. This paper also provides a mechanism to classify the videos into different popularity classes.
AB - The emergence of new platforms providing Internet protocol television (IPTV) services, such as Google TV [1] and Apple TV [2] is expected to revolutionize the way multimedia services are provided on the Internet. However, the existing network infrastructure falls well short of meeting the resource requirements to provide satisfactory levels of such services. This has led the service providers like Google to contemplate deploying large farms of network cables to transport the traffic generated by their IPTV services. However, the huge cost involved in achieving their target, means careful resource planning and meeting users' expectations are essential. In this paper, we propose an effective adaptive HYbrid delivery System Adaptive Content management (HySAC), which dynamically selects the mode of video delivery from unicast, multicast and peer-to-peer (P2P) based on the popularity of the respective videos. The videos are dynamically classified into high, medium and low popularity groups and, they are delivered using multicast, P2P and unicast methods respectively. HySAC reduces the start-up delay as the mode of delivery is well defined and the resource availability to support the delivery is guaranteed. We have evaluated the performance of HySAC on a realistic simulated environment and presented experimental results; they indicate that HySAC performs significantly better than pure unicast, multicast and P2P mechanisms. This paper also provides a mechanism to classify the videos into different popularity classes.
KW - adaptive systems
KW - content prepopulation
KW - IPTV
KW - multicast
KW - peer-to-peer
KW - VoD
UR - http://www.scopus.com/inward/record.url?scp=80052155879&partnerID=8YFLogxK
U2 - 10.1109/icc.2011.5962598
DO - 10.1109/icc.2011.5962598
M3 - Conference contribution
AN - SCOPUS:80052155879
SN - 9781612842332
T3 - IEEE International Conference on Communications
BT - 2011 IEEE International Conference on Communications, ICC 2011
Y2 - 5 June 2011 through 9 June 2011
ER -